KINDAI UNIVERSITY


*A space between the first name and last name, please enter

HAMASUNA Yukihiro

Profile

FacultyDepartment of Informatics / Graduate School of Science and Engineering Research
PositionLecturer
Degree
Commentator Guidehttps://www.kindai.ac.jp/meikan/479-hamasuna-yukihiro.html
URL
Mail
Last Updated :2020/04/04

Research Activities

Research Areas

  • Informatics, Sensitivity (kansei) informatics
  • Informatics, Soft computing
  • Informatics, Intelligent informatics
  • Informatics, Information theory

Research Interests

  • Data Science, Machine Learning, Soft Computing, Clustering

Published Papers

  • k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence, Yukihiro Hamasuna, Yuto Kingetsu, Shusuke Nakano, The 16th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2019), The 16th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2019), Sep. 2019 , Refereed
  • Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data, Yukihiro Hamasuna, Shusuke Nakano, Ryo Ozaki, Yasunori Endo, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 23(3), 577 - 583, May 2019 , Refereed
  • Cluster Validity Measures for Network Data., Yukihiro Hamasuna, Daiki Kobayashi, Ryo Ozaki, Yasunori Endo, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 22(4), 544 - 550, Jul. 2018 , Refereed
  • Fuzzified Even-Sized Clustering Based on Optimization., Kei Kitajima, Yasunori Endo, Yukihiro Hamasuna, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 22(4), 537 - 543, Jul. 2018 , Refereed
  • Two-Stage Clustering Based on Cluster Validity Measures, Hamasuna Yukihiro, Ozaki Ryo, Endo Yasunori, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 22(1), 54 - 61, Jan. 2018 , Refereed
  • Even-Sized Clustering Based on Optimization and its Variants, Endo Yasunori, Hamasuna Yukihiro, Hirano Tsubasa, Kinoshita Naohiko, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 22(1), 62 - 69, Jan. 2018 , Refereed
  • On Fuzzified Even-sized Clustering Based on Optimization, Kei Kitajima, Yasunori Endo, Yukihiro Hamasuna, The 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2017), The 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2017), Oct. 2017 , Refereed
  • On Edge Penalty Based Hard and Fuzzy c-Medoids for Uncertain Networks, Yukihiro Hamasuna, Yasunori Endo, The 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2017), The 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2017), Oct. 2017 , Refereed
  • Agglomerative Hierarchical Clustering Based on Local Optimization for Cluster Validity Measures, Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1822 - 1827, Oct. 2017 , Refereed
  • Two Roles of Cluster Validity Measures for Clustering Network Data, Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo, The 2017 conference of the International Federation of Classification Societies (IFCS2017), The 2017 conference of the International Federation of Classification Societies (IFCS2017), Aug. 2017 , Refereed
  • On Various Types of Controlled-sized Clustering Based on Optimization, Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita, Yukihiro Hamasuna, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1 - 6, Jul. 2017 , Refereed
  • Hierarchical clustering algorithms with automatic estimation of the number of clusters, Ryosuke Abe, Sadaaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 1 - 5, Jun. 2017 , Refereed
  • A Study on Cluster Validity Measures for Clustering Network Data, Yukihiro Hamasuna, Ryo Ozaki, Yasunori Endo, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 1 - 6, Jun. 2017 , Refereed
  • On Some Clustering Algorithms Based on Tolerance., Yukihiro Hamasuna, Yasunori Endo, Fuzzy Sets, Rough Sets, Multisets and Clustering, Fuzzy Sets, Rough Sets, Multisets and Clustering, 87 - 99, 2017 , Refereed
  • Comparison of Trace of Fuzzy Covariance Matrix with Its Kernelization in Cluster Validity Measures based x-means, Yukihiro Hamasuna, Yasunori Endo, The 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2017), The 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2017), Sep. 2016 , Refereed
  • On Various Types of Even-Sized Clustering Based on Optimization., Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna, Modeling Decisions for Artificial Intelligence - 13th International Conference, MDAI 2016, Sant Julià de Lòria, Andorra, September 19-21, 2016. Proceedings, Modeling Decisions for Artificial Intelligence - 13th International Conference, MDAI 2016, Sant Julià de Lòria, Andorra, September 19-21, 2016. Proceedings, 165 - 177, Sep. 2016 , Refereed
  • Comparison of Cluster Validity Measures Based x-Means., Yukihiro Hamasuna, Naohiko Kinoshita, Yasunori Endo, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 20(5), 845 - 853, Sep. 2016 , Refereed
  • On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering., Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 20(4), 571 - 579, Sep. 2016 , Refereed
  • A Method of Two-Stage Clustering Based on Cluster Validity Measures, Ryo Ozaki, Yukihiro Hamasuna, Yasunori Endo, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 410 - 415, Aug. 2016 , Refereed
  • On Kernelized Sequential Hard Clustering, Yukihiro Hamasuna, Yasunori Endo, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 416 - 419, Aug. 2016 , Refereed
  • On a Family of New Sequential Hard Clustering, Hamasuna Yukihiro, Endo Yasunori, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 19(6), 759 - 765, Nov. 2015 , Refereed
  • On Cluster Validity Measures based x-means, Yukihiro Hamasuna, Yasunori Endo, The 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2015), The 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2015), Sep. 2015 , Refereed
  • Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data, Kinoshita Naohiko, Endo Yasunori, Hamasuna Yukihiro, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 19(5), 624 - 631, Sep. 2015 , Refereed
  • On Sequential Cluster Extraction Based on L-1-Regularized Possibilistic c-Means, Hamasuna Yukihiro, Endo Yasunori, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 19(5), 655 - 661, Sep. 2015 , Refereed
  • Fuzzy Non-metric Model for Data with Tolerance and Its Application to Incomplete Data Clustering, Endo Yasunori, Suzuki Tomoyuki, Kinoshita Naohiko, Hamasuna Yukihiro, Miyamoto Sadaaki, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), 1 - 7, Aug. 2015 , Refereed
  • On Cluster Extraction from Relational Data Using L1-Regularized Possibilistic Assignment Prototype Algorithm., Yukihiro Hamasuna, Yasunori Endo, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 19(1), 23 - 28, Jan. 2015 , Refereed
  • On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model., Yukihiro Hamasuna, Yasunori Endo, Modeling Decisions for Artificial Intelligence - 10th International Conference, MDAI 2013, Barcelona, Spain, November 20-22, 2013. Proceedings, Modeling Decisions for Artificial Intelligence - 10th International Conference, MDAI 2013, Barcelona, Spain, November 20-22, 2013. Proceedings, 8234, 204 - 213, Nov. 2013 , Refereed
  • Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering., Yukihiro Hamasuna, Yasunori Endo, IEEE International Conference on Systems, Man, and Cybernetics, Manchester, SMC 2013, United Kingdom, October 13-16, 2013, IEEE International Conference on Systems, Man, and Cybernetics, Manchester, SMC 2013, United Kingdom, October 13-16, 2013, 2013 Vol.5, 3505 - 3510, Oct. 2013 , Refereed
  • Non Metric Model Based on Rough Set Representation., Yasunori Endo, Ayako Heki, Yukihiro Hamasuna, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 17(4), 540 - 551, Jul. 2013 , Refereed
  • On Semi-supervised Fuzzy c-Means Clustering for Data with Clusterwise Tolerance by Opposite Criteria, Hamasuna Yukihiro, Endo Yasunori, Soft Computing, Soft Computing, 17(1), 71 - 81, Jan. 2013 , Refereed
  • On Sparse Possibilistic Clustering with Crispness - Classification Function and Sequential Extraction, Yukihiro Hamasuna, Yasunori Endo, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, 1801 - 1806, Nov. 2012 , Refereed
  • On Rough Set Based Non Metric Model., Yasunori Endo, Ayako Heki, Yukihiro Hamasuna, Modeling Decisions for Artificial Intelligence - 9th International Conference, MDAI 2012, Girona, Catalonia, Spain, November 21-23, 2012. Proceedings, Modeling Decisions for Artificial Intelligence - 9th International Conference, MDAI 2012, Girona, Catalonia, Spain, November 21-23, 2012. Proceedings, 7647 LNAI, 394 - 407, Nov. 2012 , Refereed
  • Hard c-Means using Quadratic Penalty-Vector Regularization for Uncertain Data, Yasunori Endo, Yukihiro Hamasuna, Arisa Taniguchi, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 16(7), 831 - 840, Nov. 2012 , Refereed
  • Comparison of Semi-supervised Hierarchical Clustering Using Clusterwise Tolerance, Yukihiro Hamasuna, Yasunori Endo, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 16(7), 819 - 824, Nov. 2012 , Refereed
  • On Agglomerative Hierarchical Clustering Using Clustering Tolerance Based Pairwise Constraints, Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 16(1), 174 - 179, Jan. 2012 , Refereed
  • Hard and fuzzy c-means clustering with mutual relation constraints., Yasunon Endo, Yukihiro Hamasuna, 11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011, 11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011, 557 - 562, Nov. 2011 , Refereed
  • On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria., Yukihiro Hamasuna, Yasunori Endo, 2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011, 2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011, 225 - 230, Nov. 2011 , Refereed
  • On principal component analysis for data with tolerance., Yasunori Endo, Tatsuyoshi Tsuji, Yukihiro Hamasuna, Kouta Kurihara, 2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011, 2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011, 177 - 182, Nov. 2011 , Refereed
  • Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms., Yasunori Endo, Yukihiro Hamasuna, Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part I, Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part I, 6881, 131 - 140, Sep. 2011 , Refereed
  • On Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data., Yasunori Endo, Arisa Taniguchi, Aoi Takahashi, Yukihiro Hamasuna, Modeling Decision for Artificial Intelligence - 8th International Conference, MDAI 2011, Changsha, Hunan, China, July 28-30, 2011, Proceedings, Modeling Decision for Artificial Intelligence - 8th International Conference, MDAI 2011, Changsha, Hunan, China, July 28-30, 2011, Proceedings, 6820, 126 - 138, Jul. 2011 , Refereed
  • Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Modeling Decision for Artificial Intelligence - 8th International Conference, MDAI 2011, Changsha, Hunan, China, July 28-30, 2011, Proceedings, Modeling Decision for Artificial Intelligence - 8th International Conference, MDAI 2011, Changsha, Hunan, China, July 28-30, 2011, Proceedings, 6820, 103 - 113, Jul. 2011 , Refereed
  • On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, FUZZ-IEEE 2011, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, 27-30 June, 2011, Proceedings, FUZZ-IEEE 2011, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, 27-30 June, 2011, Proceedings, 810 - 815, Jun. 2011 , Refereed
  • Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings., Yasunori Endo, Isao Takayama, Yukihiro Hamasuna, Sadaaki Miyamoto, FUZZ-IEEE 2011, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, 27-30 June, 2011, Proceedings, FUZZ-IEEE 2011, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, 27-30 June, 2011, Proceedings, 804 - 809, Jun. 2011 , Refereed
  • Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization, Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 15(1), 68 - 75, Jan. 2011 , Refereed
  • Fuzzy c-Means Clustering for Uncertain Data using Quadratic Regularization of Penalty Vectors, Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Yuchi Kanzawa, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 15(1), 76 - 82, Jan. 2011
  • Semi-supervised Fuzzy c-Means Clustering for Data with Clusterwise Tolerance with Pairwise Constraints, Yukihiro Hamasuna, Yasunori Endo, Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2010), Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2010), Dec. 2010 , Refereed
  • Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Modeling Decisions for Artificial Intelligence - 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010. Proceedings, Modeling Decisions for Artificial Intelligence - 7th International Conference, MDAI 2010, Perpignan, France, October 27-29, 2010. Proceedings, 6408, 152 - 162, Oct. 2010 , Refereed
  • Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, 2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010, 2010 IEEE International Conference on Granular Computing, GrC 2010, San Jose, California, USA, 14-16 August 2010, 188 - 193, Aug. 2010 , Refereed
  • Cluster validity measures for data with tolerance., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings, FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings, 1 - 6, Jul. 2010 , Refereed
  • Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables., Yasunori Endo, Kouta Kurihara, Sadaaki Miyamoto, Yukihiro Hamasuna, FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings, FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings, 1 - 8, Jul. 2010 , Refereed
  • On Tolerant Fuzzy c-Means Clustering and Tolerant Possibilistic Clustering, Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Soft Computing, Soft Computing, 14(5), 487 - 494, Mar. 2010 , Refereed
  • Fuzzy c-Regression Model for Data with Tolerance, Kouta Kurihara, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto, The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), Dec. 2009 , Refereed
  • On L1-Norm Based Fuzzy c-Means Clustering with Penalty Term, Tomoaki Miyamoto, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto, The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), Dec. 2009 , Refereed
  • On Hierarchical Clustering for Data with Tolerance, Yasunori Endo, Yukihiro Hamasuna, Ayaka Tagaya, The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), Dec. 2009 , Refereed
  • Fuzzy Classification Function of Tolerant Fuzzy c-Means Clustering with L1-Regularization, Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), The 6th International Conference on Modeling Decisions for Artificial Intelligence (MDAI2009), Dec. 2009 , Refereed
  • Two types of Tolerant Hard c-Means Clustering, Yukihiro Hamasuna, Yasunori Endo, 2009 International Symposium on Nonlinear Theory and its Applications (Nolta2009), 2009 International Symposium on Nonlinear Theory and its Applications (Nolta2009), Oct. 2009 , Refereed
  • Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, The 2009 IEEE International Conference on Granular Computing, GrC 2009, Lushan Mountain, Nanchang, China, 17-19 August 2009, The 2009 IEEE International Conference on Granular Computing, GrC 2009, Lushan Mountain, Nanchang, China, 17-19 August 2009, 197 - 202, Aug. 2009 , Refereed
  • On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors., Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto, The 2009 IEEE International Conference on Granular Computing, GrC 2009, Lushan Mountain, Nanchang, China, 17-19 August 2009, The 2009 IEEE International Conference on Granular Computing, GrC 2009, Lushan Mountain, Nanchang, China, 17-19 August 2009, 148 - 153, Aug. 2009 , Refereed
  • On L1-Norm based tolerant fuzzy c-Means clustering., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, FUZZ-IEEE 2009, IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 20-24 August 2009, Proceedings, FUZZ-IEEE 2009, IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 20-24 August 2009, Proceedings, 1125 - 1130, Aug. 2009 , Refereed
  • On semi-supervised fuzzy c-means clustering., Yasunori Endo, Yukihiro Hamasuna, Makito Yamashiro, Sadaaki Miyamoto, FUZZ-IEEE 2009, IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 20-24 August 2009, Proceedings, FUZZ-IEEE 2009, IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 20-24 August 2009, Proceedings, 1119 - 1124, Aug. 2009 , Refereed
  • On Tolerant Fuzzy c-Means Clustering with L1-Regularization., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009, 1152 - 1157, Jul. 2009 , Refereed
  • Clustering Algorithm Based on Probabilistic Dissimilarity., Makito Yamashiro, Yasunori Endo, Yukihiro Hamasuna, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 13(4), 429 - 433, Jul. 2009 , Refereed
  • On Tolerant Fuzzy c -Means Clustering, Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Journal of Advanced Com- putational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Com- putational Intelligence and Intelligent Informatics (JACIII), 13(4), 421 - 428, Jul. 2009 , Refereed
  • On Projection Correlation Proposal for a New Dissimilarity and Application to Hierarchical Clustering Algorithms, Yasunori Endo, Fuyuki Uchida, Yukihiro Hamasuna, Modeling Decisions for Artificial Intelligence (MDAI2008), Modeling Decisions for Artificial Intelligence (MDAI2008), Oct. 2008 , Refereed
  • New Clustering Algorithms by using Tolerance Vector, Yukihiro Hamasuna, Yasunori Endo, Modeling Decisions for Artificial Intelligence (MDAI2008), Modeling Decisions for Artificial Intelligence (MDAI2008), Oct. 2008 , Refereed
  • On a New Dissimilarity of Projection Correlation, Yasunori Endo, Fuyuki Uchida, Yukihiro Hamasuna, Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Sep. 2008 , Refereed
  • On Clustering Algorithm based on Probabilistic Similarity, Makito Yamashiro, Yasunori Endo, Yukihiro Hamasuna, Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Sep. 2008 , Refereed
  • On Fuzzy c-Means for Data with Uncertainty using Spring Modulus, Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Sep. 2008 , Refereed
  • On Tolerant Fuzzy c-Means, Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), Sep. 2008 , Refereed
  • Fuzzy c-means for Data with Rectangular Maximum Tolerance Range, Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 12(5), 461 - 466, Sep. 2008 , Refereed
  • On Tolerant Entropy Regularized Fuzzy C-means., Yukihiro Hamasuna, Yasunori Endo, Makito Yamashiro, The 2008 IEEE International Conference on Granular Computing, GrC 2008, Hangzhou, China, 26-28 August 2008, The 2008 IEEE International Conference on Granular Computing, GrC 2008, Hangzhou, China, 26-28 August 2008, 244 - 247, Aug. 2008 , Refereed
  • Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin., Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, FUZZ-IEEE 2008, IEEE International Conference on Fuzzy Systems, Hong Kong, China, 1-6 June, 2008, Proceedings, FUZZ-IEEE 2008, IEEE International Conference on Fuzzy Systems, Hong Kong, China, 1-6 June, 2008, Proceedings, 750 - 755, Jun. 2008 , Refereed
  • 許容範囲付きデータに対するハードクラスタリング, Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto, Yasushi Hasegawa, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 20(3), 388 - 398, Jun. 2008 , Refereed
  • Agglomerative Hierarchical Clustering for Data with Tolerance., Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto, 2007 IEEE International Conference on Granular Computing, GrC 2007, San Jose, California, USA, 2-4 November 2007, 2007 IEEE International Conference on Granular Computing, GrC 2007, San Jose, California, USA, 2-4 November 2007, 404 - 409, Nov. 2007 , Refereed
  • Clustering Algorithms Based on Tolerance Vector Concept, Yasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto, Proc. 2007 International Symposium on Nonlinear Theory and Its Applications (Nolta2007), Proc. 2007 International Symposium on Nonlinear Theory and Its Applications (Nolta2007), Sep. 2007 , Refereed
  • Fuzzy c -Means for Data with Tolerance Defined as Hyper-Rectangle., Yasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto, Modeling Decisions for Artificial Intelligence, 4th International Conference, MDAI 2007, Kitakyushu, Japan, August 16-18, 2007, Proceedings, Modeling Decisions for Artificial Intelligence, 4th International Conference, MDAI 2007, Kitakyushu, Japan, August 16-18, 2007, Proceedings, 4617, 237 - 248, Aug. 2007 , Refereed
  • Two Clustering Algorithms for Data with Tolerance based on Hard c-Means., Yukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto, FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings, FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings, 687 - 690, Jul. 2007 , Refereed
  • Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization, Sadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 11(1), 51 - 60, Jan. 2007 , Refereed
  • Metaheuristic Algorithms for Container Loading Problem by Grouping Objects, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 18(6), 859 - 866, Dec. 2006 , Refereed
  • Metaheuristic Al- gorithms for Container Loading Problem Using Grouping Objects, Yasunori Endo, Sadaaki Miyamoto, Koki Hanzawa, Yukihiro Hamasuna, Proc. 2006 International Symposium on Nonlinear Theory and Its Applications (Nolta2006), Proc. 2006 International Symposium on Nonlinear Theory and Its Applications (Nolta2006), Sep. 2006 , Refereed
  • Container Loading Problem: Formulation, Knowledge Utilization, and Algorithms, Yasunori Endo, Sadaaki Miyamoto, Koki Hanzawa, Yukihiro Hamasuna, Modeling Decisions for Artificial Intelligence (MDAI2005), Modeling Decisions for Artificial Intelligence (MDAI2005), Jul. 2005 , Refereed

Misc

  • A Study on Outlier Detection for Network Data by Using Fuzzy Clustering, Hamasuna Yukihiro, Ozaki Ryo, Proceedings of the Japan Joint Automatic Control Conference, 60, 0,   2017 11 , http://ci.nii.ac.jp/naid/130006251261
  • Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data, 尾﨑 稜, 濵砂 幸裕, ファジィシステムシンポジウム講演論文集, 33, 435, 440,   2017 09 13 , http://ci.nii.ac.jp/naid/40021612498
  • Clustering and others : beyond the k-means, 濵砂 幸裕, システム制御情報学会研究発表講演会講演論文集, 61,   2017 05 23 , http://ci.nii.ac.jp/naid/40021219538
  • On Cluster Validity Measures Based x-means for Fuzzy Partition, Hamasuna Yukihiro, Endo Yasunori, Proceedings of the Fuzzy System Symposium,   2015 09 , http://ci.nii.ac.jp/naid/130005488329
    Summary:The x-means divides a set of objects without determining the number of clusters by using iterative k-means and evaluation criteria.A series of cluster validity measures is also used in order to evaluate the clustering results and determine suitable number of clusters. We propose cluster validity measures based x-means by introducing cluster validity measures instead of information criteria.We moreover show the effectiveness of the proposed methodthrough numerical examples.
  • On Semi-supervised Clustering with Assignment Prototype Term, Hamasuna Yukihiro, Endo Yasunori, Proceedings of the Fuzzy System Symposium,   2014 09 , http://ci.nii.ac.jp/naid/130005480516
    Summary:This paper proposes a new type of semi-supervised fuzzy c -means clustering with assignment prototype term. The assignment prototype term is based on the Windham's assignment prototype algorithm which handles pairwise constraints between objects in the proposed method. First, an optimization problem of the proposed method is formulated. Next, a new clustering algorithm is constructed based on the above discussions. Moreover, the effectiveness of the proposed method is shown through numerical experiments.
  • On Entropy Based Fuzzy Non-Metric Model with A Variable Controlling Cluster Sizes, Hamasuna Yukihiro, Endo Yasunori, Proceedings of the Fuzzy System Symposium,   2013 09 , http://ci.nii.ac.jp/naid/130005480371
    Summary:The fuzzy non-metric model is one of the clustering methods in which the membership grade of each datum to each cluster is calculated directly from dissimilarities between data. In conventional fuzzy c-means clustering, a variables for controlling cluster sizes are introduced for handling a set of data which has different sizes of clusters. We propose entropy based fuzzy non-metric model with a variable controlling cluster sizes and construct its algorithm in this paper.
  • On Sparse Possibilistic Clustering with Crispness, Yukihiro Hamasuna, Yasunori Endo, Proceedings of the Fuzzy System Symposium, 28, 0, 859, 862,   2012 09 , http://ci.nii.ac.jp/naid/130005456269
    Summary:In addition to fuzzy $c$-means clustering, possibilistic clustering is well-known as one of the useful techniques because it is robust against noise in data. Especially sparse possibilistic clustering is quite different from other possibilistic clustering methods in the point of membership function. We propose a way to induce the crispness in possibilistic clustering by using $L_1$-regularization and show classification function of sparse possibilistic clustering with crispness for understanding allocation rule. We, moreover, show the way of sequential extraction by proposed method. After that, we show the effectiveness of the proposed method through numerical examples.
  • On Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance, 濵砂 幸裕, 遠藤 靖典, ファジィシステムシンポジウム講演論文集, 27, 323, 326,   2011 09 12 , http://ci.nii.ac.jp/naid/40019530566
  • On Support Vector Machine for Uncertain Data with Penalty Vectors, 髙山 勲, 遠藤 靖典, 濵砂 幸裕, ファジィシステムシンポジウム講演論文集, 27, 327, 330,   2011 09 12 , http://ci.nii.ac.jp/naid/40019530577
  • Principal Component Analysis for Data with Tolerance, 辻 竜佳, 遠藤 靖典, 濵砂 幸裕, ファジィシステムシンポジウム講演論文集, 27, 331, 336,   2011 09 12 , http://ci.nii.ac.jp/naid/40019530589
  • A Study on Cluster Validity Measures for Data with Tolerance, 日置 彩子, 遠藤 靖典, 濵砂 幸裕, ファジィシステムシンポジウム講演論文集, 27, 317, 322,   2011 09 12 , http://ci.nii.ac.jp/naid/40019530554