HAMASUNA Yukihiro

Researcher Information

Research funding number

• 70610559

J-Global ID

• 201401059571433209

Research Interests

• Data Science   Machine Learning   Soft Computing   Clustering   

Research Areas

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

Published Papers

• The relationship between Gaussian process based c-regression models and kernel c-regression models

  Yukihiro Hamasuna; Yuya Yokoyama; Kaito Takegawa

  2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS) IEEE 2022/11 [Refereed]
  
• Network Clustering with Controlled Node Size

  Yukihiro Hamasuna; Shusuke Nakano; Yasunori Endo

  Modeling Decisions for Artificial Intelligence, LNAI 12898 Springer International Publishing 243 - 256 0302-9743 2021/09 [Refereed]
  
• Jensen–Shannon Divergence-Based k-Medoids Clustering

  Yuto Kingetsu; Yukihiro Hamasuna

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press Ltd. 25 (2) 226 - 233 1343-0130 2021/03 [Refereed]
  
• Three Controlled-Sized Clustering Methods for Time-Series Data

  TSUDA Nobuhiko; HAMASUNA Yukihiro; ENDO Yasunori

  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics Japan Society for Fuzzy Theory and Intelligent Informatics 33 (2) 608 - 616 1347-7986 2021 [Refereed]
  
• Controlled-Sized Clustering for Time-Series Data

  Nobuhiko Tsuda; Yukihiro Hamasuna

  2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS) IEEE 2020/12 [Refereed]
  
• On Fuzzy c-Regression Models Based on Gaussian Process Regression Models

  Yukihiro Hamasuna; Daiki Kobayashi; Yasunori Endo

  The 17th International Conference on Modeling Decisions for Artificial Intelligence 2020/09 [Refereed]
  
• On hard c-means with cluster radius that makes the cluster partition homotopy equivalent to weighted 𝛼-complex

  Yasunori Endo; Kanata Hoshino; Yukihiro Hamasuna

  Journal of Ambient Intelligence and Humanized Computing Springer Science and Business Media LLC 1868-5137 2020/07 [Refereed]
  
• 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) 2019/09 [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) 23 (3) 577 - 583 2019/05 [Refereed]
  
• Cluster Validity Measures for Network Data.

  Yukihiro Hamasuna; Daiki Kobayashi; Ryo Ozaki; Yasunori Endo

  Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 22 (4) 544 - 550 2018/07 [Refereed]
  
• Fuzzified Even-Sized Clustering Based on Optimization.

  Kei Kitajima; Yasunori Endo; Yukihiro Hamasuna

  Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 22 (4) 537 - 543 2018/07 [Refereed]
  
• Two-stage clustering based on cluster validity measures

  Yukihiro Hamasuna; Ryo Ozaki; Yasunori Endo

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 22 (1) 54 - 61 1883-8014 2018/01 [Refereed]
  
• Even-sized clustering based on optimization and its variants

  Yasunori Endo; Yukihiro Hamasuna; Tsubasa Hirano; Naohiko Kinoshita

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 22 (1) 62 - 69 1883-8014 2018/01 [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 Institute of Electrical and Electronics Engineers Inc. 2017- 1822 - 1827 1062-922X 2017/11 [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) 2017/10 [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) 2017/10 [Refereed]
  
• Hierarchical clustering algorithms with automatic estimation of the number of clusters

  Ryosuke Abe; Sadaaki Miyamoto; Yasunori Endo; Yukihiro Hamasuna

  IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems Institute of Electrical and Electronics Engineers Inc. 1 - 5 2017/08 [Refereed]
  
• A study on cluster validity measures for clustering network data

  Yukihiro Hamasuna; Ryo Ozaki; Yasunori Endo

  IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems Institute of Electrical and Electronics Engineers Inc. 1 - 6 2017/08 [Refereed]
  
• On various types of controlled-sized clustering based on optimization

  Yasunori Endo; Sachiko Ishida; Naohiko Kinoshita; Yukihiro Hamasuna

  IEEE International Conference on Fuzzy Systems Institute of Electrical and Electronics Engineers Inc. 1 - 6 1098-7584 2017/08 [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) 2017/08 [Refereed]
  
• On some clustering algorithms based on tolerance

  Yukihiro Hamasuna; Yasunori Endo

  Studies in Computational Intelligence Springer Verlag 671 87 - 99 1860-949X 2017/01 [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) 2016/09 [Refereed]
  
• Comparison of cluster validity measures based x-means

  Yukihiro Hamasuna; Naohiko Kinoshita; Yasunori Endo

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 20 (5) 845 - 853 1883-8014 2016/09 [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 Fuji Technology Press 20 (4) 571 - 579 1883-8014 2016 [Refereed]
  
• On Various Types of Even-Sized Clustering Based on Optimization

  Yasunori Endo; Tsubasa Hirano; Naohiko Kinoshita; Yikihiro Hamasuna

  MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, (MDAI 2016) SPRINGER-VERLAG BERLIN 9880 165 - 177 0302-9743 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) IEEE 410 - 415 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) IEEE 416 - 419 2016 [Refereed]
  
• Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering

  Yasunori Endo; Tomoyuki Suzuki; Naohiko Kinoshita; Yukihiro Hamasuna; Sadaaki Miyamoto

  IEEE International Conference on Fuzzy Systems Institute of Electrical and Electronics Engineers Inc. 2015- 1098-7584 2015/11 [Refereed]
  
• On Cluster Validity Measures based x-means

  Yukihiro Hamasuna; Yasunori Endo

  The 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2015) Japan Society for Fuzzy Theory and Intelligent Informatics 31 99 - 100 2015/09 [Refereed]
  
• Fuzzy c-means with quadratic penalty-vector regularization using kullback-leibler information for uncertain data

  Naohiko Kinoshita; Yasunori Endo; Yukihiro Hamasuna

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 19 (5) 624 - 631 1883-8014 2015/09 [Refereed]
  
• On sequential cluster extraction based on L1-regularized possibilistic c-means

  Yukihiro Hamasuna; Yasunori Endo

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 19 (5) 655 - 661 1883-8014 2015/09 [Refereed]
  
• Fuzzy Non-metric Model for Data with Tolerance and Its Application to Incomplete Data Clustering

  Yasunori Endo; Tomoyuki Suzuki; Naohiko Kinoshita; Yukihiro Hamasuna; Sadaaki Miyamoto

  2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015) IEEE 20 (4) 571 - 579 1544-5615 2015 [Refereed]
  
• On a family of new sequential hard clustering

  Yukihiro Hamasuna; Yasunori Endo

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 19 (6) 759 - 765 1883-8014 2015 [Refereed]
  
• Fuzzy Non-metric Model for Data with Tolerance and Its Application to Incomplete Data Clustering

  Yasunori Endo; Tomoyuki Suzuki; Naohiko Kinoshita; Yukihiro Hamasuna; Sadaaki Miyamoto

  2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015) IEEE 1 - 7 1544-5615 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 Fuji Technology Press 19 (1) 23 - 28 1883-8014 2015/01 [Refereed]
  
• On New Sequential Hard c-Medoids

  Yukihiro Hamasuna; Yasunori Endo

  2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) IEEE 489 - 494 2014 [Refereed]
  
• On Even-sized Clustering Algorithm Based on Optimization

  Tsubasa Hirano; Yasunori Endo; Naohiko Kinoshita; Yukihiro Hamasuna

  2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS) IEEE 495 - 500 2014 [Refereed]
  
• On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering

  Yukihiro Hamasuna; Yasunori Endo

  KNOWLEDGE AND SYSTEMS ENGINEERING (KSE 2013), VOL 2 SPRINGER-VERLAG BERLIN 245 57 - 67 2194-5357 2014 [Refereed]
  
• Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms

  Yasunori Endo; Naohiko Kinoshita; Kuniaki Iwakura; Yukihiro Hamasuna

  MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, MDAI 2014 SPRINGER-VERLAG BERLIN 8825 145 - 157 0302-9743 2014 [Refereed]
  
• Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term

  Yukihiro Hamasuna; Yasunori Endo

  MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, MDAI 2014 SPRINGER-VERLAG BERLIN 8825 135 - 144 0302-9743 2014 [Refereed]
  
• On New Sequential Hard c-Means and its Kernelization

  Yukihiro Hamasuna; Yasunori Endo

  2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC) IEEE 82 - 87 2014 [Refereed]
  
• Non Metric Model Based on Rough Set Representation.

  Yasunori Endo; Ayako Heki; Yukihiro Hamasuna

  Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) 17 (4) 540 - 551 2013/07 [Refereed]
  
• Sequential extraction by using two types of crisp possibilistic clustering

  Yukihiro Hamasuna; Yasunori Endo

  Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 IEEE 2013 Vol.5 3505 - 3510 1062-922X 2013 [Refereed]
  
• On sequential cluster extraction based on L1-regularized possibilistic non-metric model

  Yukihiro Hamasuna; Yasunori Endo

  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer 8234 204 - 213 0302-9743 2013 [Refereed]
  
• On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria

  Yukihiro Hamasuna; Yasunori Endo

  SOFT COMPUTING SPRINGER 17 (1) 71 - 81 1432-7643 2013/01 [Refereed]
  
• On Sparse Possibilistic Clustering with Crispness - Classification Function and Sequential Extraction

  Yukihiro Hamasuna; Yasunori Endo

  6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS IEEE 1801 - 1806 2012 [Refereed]
  
• On rough set based non metric model

  Yasunori Endo; Ayako Heki; Yukihiro Hamasuna

  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer 7647 394 - 407 0302-9743 2012 [Refereed]
  
• Hard c-means using quadratic penalty-vector regularization for uncertain data

  Yasunori Endo; Arisa Taniguchi; Yukihiro Hamasuna

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 16 (7) 831 - 840 1883-8014 2012 [Refereed]
  
• Comparison of semi-supervised hierarchical clustering using clusterwise tolerance

  Yukihiro Hamasuna; Yasunori Endo

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 16 (7) 819 - 824 1883-8014 2012 [Refereed]
  
• On agglomerative hierarchical clustering using clusterwise tolerance based pairwise constraints

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 16 (1) 174 - 179 1883-8014 2012 [Refereed]
  
• On Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data

  Yasunori Endo; Arisa Taniguchi; Aoi Takahashi; Yukihiro Hamasuna

  MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, MDAI 2011 SPRINGER-VERLAG BERLIN 6820 126 - + 0302-9743 2011 [Refereed]
  
• Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, MDAI 2011 SPRINGER-VERLAG BERLIN 6820 103 - + 0302-9743 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, PT I SPRINGER 6881 131 - 140 0302-9743 2011 [Refereed]
  
• Hard and fuzzy c-means clustering with mutual relation constraints

  Yasunon Endo; Yukihiro Hamasuna

  International Conference on Intelligent Systems Design and Applications, ISDA IEEE 557 - 562 2164-7143 2011 [Refereed]
  
• On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria

  Yukihiro Hamasuna; Yasunori Endo

  Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011 IEEE 225 - 230 2011 [Refereed]
  
• On principal component analysis for data with tolerance

  Yasunori Endo; Tatsuyoshi Tsuji; Yukihiro Hamasuna; Kota Kurihara

  Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011 IEEE 177 - 182 2011 [Refereed]
  
• On Mahalanobis Distance Based Fuzzy c-Means Clustering for Uncertain Data Using Penalty Vector Regularization

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) IEEE 810 - 815 1098-7584 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

  IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) IEEE 804 - 809 1098-7584 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 Fuji Technology Press 15 (1) 68 - 75 1883-8014 2011 [Refereed]
  
• Fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization

  Yasunori Endo; Yasushi Hasegawa; Yukihiro Hamasuna; Yuchi Kanzawa

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 15 (1) 76 - 82 1883-8014 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) 2010/12 [Refereed]
  
• On tolerant fuzzy c-means clustering and tolerant possibilistic clustering

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  SOFT COMPUTING SPRINGER 14 (5) 487 - 494 1432-7643 2010/03 [Refereed]
  
• Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (MDAI) SPRINGER-VERLAG BERLIN 6408 152 - 162 0302-9743 2010 [Refereed]
  
• Semi-supervised fuzzy c-means clustering using clusterwise tolerance based pairwise constraints

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010 IEEE Computer Society 188 - 193 2010 [Refereed]
  
• Cluster Validity Measures for Data with Tolerance

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) IEEE 1 - 6 1098-7584 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

  2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) IEEE 1 - 8 1098-7584 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) 2009/12 [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) 2009/12 [Refereed]
  
• Two types of Tolerant Hard c-Means Clustering

  Yukihiro Hamasuna; Yasunori Endo

  2009 International Symposium on Nonlinear Theory and its Applications (Nolta2009) 2009/10 [Refereed]
  
• Clustering algorithm based on probabilistic dissimilarity

  Makito Yamashiro; Yasunori Endo; Yukihiro Hamasuna

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 13 (4) 429 - 433 1883-8014 2009 [Refereed]
  
• On L-1-Norm based Tolerant Fuzzy c-Means Clustering

  Hamasuna Yukihiro; Endo Yasunori; Miyamoto Sadaaki

  2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 IEEE 1125 - + 2009 [Refereed]
  
• On Tolerant Fuzzy c-Means Clustering with L-1-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 EUROPEAN SOC FUZZY LOGIC & TECHNOLOGY 1152 - 1157 2009 [Refereed]
  
• Comparison of Tolerant Fuzzy c-Means Clustering with L-2- and L-1-Regularization

  Hamasuna Yukihiro; Endo Yasunori; Miyamoto Sadaaki

  2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009) IEEE 197 - + 2009 [Refereed]
  
• On Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Regularization of Penalty Vectors

  Endo Yasunori; Hamasuna Yukihiro; Kanzawa Yuchi; Miyamoto Sadaaki

  2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009) IEEE 148 - + 2009 [Refereed]
  
• On L-1-Norm based Tolerant Fuzzy c-Means Clustering

  Hamasuna Yukihiro; Endo Yasunori; Miyamoto Sadaaki

  2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 IEEE 1125 - + 1098-7584 2009 [Refereed]
  
• On Semi-Supervised Fuzzy c-Means Clustering

  Endo Yasunori; Hamasuna Yukihiro; Yamashiro Makito; Miyamoto Sadaaki

  2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 IEEE 1119 - + 1098-7584 2009 [Refereed]
  
• On Tolerant Fuzzy c-Means Clustering with L-1-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 EUROPEAN SOC FUZZY LOGIC & TECHNOLOGY 1152 - 1157 2009 [Refereed]
  
• Clustering algorithm based on probabilistic dissimilarity

  Makito Yamashiro; Yasunori Endo; Yukihiro Hamasuna

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 13 (4) 429 - 433 1883-8014 2009 [Refereed]
  
• On tolerant fuzzy c-means clustering

  Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto

  Journal of Advanced Computational Intelligence and Intelligent Informatics Fuji Technology Press 13 (4) 421 - 428 1883-8014 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) 2008/10 [Refereed]
  
• New Clustering Algorithms by using Tolerance Vector

  Yukihiro Hamasuna; Yasunori Endo

  Modeling Decisions for Artificial Intelligence (MDAI2008) 2008/10 [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) 2008/09 [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) 2008/09 [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) Fuji Technology Press (富士技術出版出版株式会社) 12 (5) 461 - 466 2008/09 [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 Japan Society for Fuzzy Theory and intelligent informatics 20 (3) 388 - 398 1881-7203 2008/06 [Refereed]
  
• On Tolerant Entropy Regularized Fuzzy c-Means

  Yukihiro Hamasuna; Yasunori Endo; Makito Yamashiro

  2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2 IEEE 244 - 247 2008 [Refereed]
  
• On Tolerant Entropy Regularized Fuzzy c-Means

  Yukihiro Hamasuna; Yasunori Endo; Makito Yamashiro

  2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2 IEEE 244 - 247 2008 [Refereed]
  
• Support Vector Machine for Data with Tolerance based on Hard-Margin and Soft-Margin

  Hamasuna Yukihiro; Endo Yasunori; Miyamoto Sadaaki

  2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 IEEE 750 - + 1098-7584 2008 [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) 2007/09 [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, PROCEEDINGS SPRINGER-VERLAG BERLIN 4617 237 - + 0302-9743 2007 [Refereed]
  
• Agglomerative hierarchical clustering for data with tolerance

  Endo Yasunori; Hamasuna Yukihiro; Miyamoto Sadaaki

  GRC: 2007 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, PROCEEDINGS IEEE COMPUTER SOC 404 - 409 2007 [Refereed]
  
• Two clustering algorithms for data with tolerance based on hard c-means

  Yukihiro Hamasuna; Yasunori Endo; Yasushi Hasegawa; Sadaaki Miyamoto

  2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4 IEEE, ELECTRON DEVICES SOC & RELIABILITY GROUP 687 - + 1098-7584 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) Fuji Technology Press (富士技術出版出版株式会社) 11 (1) 51 - 60 2007/01 [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 Japan Society for Fuzzy Theory and intelligent informatics 18 (6) 859 - 866 1881-7203 2006/12 [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) 2006/09 [Refereed]
  
• Container Loading Problem: Formulation, Knowledge Utilization, and Algorithms

  Yasunori Endo; Sadaaki Miyamoto; Koki Hanzawa; Yukihiro Hamasuna

  Modeling Decisions for Artificial Intelligence (MDAI2005) 2005/07 [Refereed]
  

MISC

• On Sequential Cluster Extraction Using Possibilistic Size Controll Clustering

  Ryota Uto; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• A Study on Cluster Validity Measures Based on Fuzzy Membership for Time-Series Data

  ⃝Kenshin Fujita; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• A Study on Parameter Estimation in Gaussian Process based c-Regression Models

  ⃝Yuya Yokoyama; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• A Study on Initial Value Determination Using k-medoids++ in Controlled Edge-Sized Network Clustering

  Hiroto Migita; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• Noise Clustering based on Local Outlier Factor

  Yoshitomo Mori; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• A Study on Network Clustering Using Similarity Based on Node Neighborhood Sets

  Katsumi Endo; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• Comparison of Automatic Cluster Number Estimation Methods by Hierarchical Clustering

  Atusya Higashino; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• Hyperparameter Optimization for Gaussian Process Sequential Regression Models

  Kaito Takegawa; Yukihiro Hamasuna  第39回ファジィシステムシンポジウム 講演論文集  2023/09
• L1 ノルムを用いたサイズコントロール機能を持つファジィクラスタリン グに関する一考察

  青木悠真; 濵砂 幸裕  計測 自動制御学会 システム・情報部門 学術講演会 2022(SSI2022)  2022/11
• Doc2Vec と階層的クラスタリングを用いたクラスタリングにおけるロバス ト性に関する分析

  奥早和紀; 濵砂 幸裕  計測 自動制御学会 システム・情報部門 学術講演会 2022(SSI2022)  2022/11
• ネットワーククラスタリングにおけるエッジコントロールの検討

  Yota Echikawa; Yukihiro Hamasuna  計測 自動制御学会 システム・情報部門 学術講演会 2022(SSI2022)  2022/11
• ガウス過程に基づく逐次抽出型回帰モデルの検討

  武川海斗; 濵砂幸裕  第38回ファジィシステムシンポジウム (FSS2022)  2022/09
• ガウス過程回帰に基づくc-回帰モデル

  横山裕哉; 濵砂幸裕  第38回ファジィシステムシンポジウム (FSS2022)  2022/09
• 階層的クラスタリングを用いたクラスタ数の自動推定に関する検討

  東埜淳哉; 濵砂幸裕  第38回ファジィシステムシンポジウム (FSS2022)  2022/09
• 階層的クラスタリングを用いたネットワークデータのクラスタ分割に関する考察

  遠藤克海; 濵砂幸裕  第38回ファジィシステムシンポジウム (FSS2022)  2022/09
• 時系列データに対するクラスタ妥当性基準に関する一考察

  藤田憲伸; 濵砂幸裕  第38回ファジィシステムシンポジウム (FSS2022)  2022/09
• 時系列データに対するWard法の検討

  大野淳寛; 濵砂幸裕  第38回ファジィシステムシンポジウム (FSS2022)  2022/09
• サイズコントロール機能を持つ可能性クラスタリング

  宇戸涼太; 濵砂 幸裕  第30回インテリ ジェント・システム・シンポジウム (FAN2022)  35  -40  2022/09
• A Study on Controlled-Sized Clustering for Time Series Data

  Nobuhiko Tsuda; Yukihiro Hamasuna  Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems(SCIS/ISIS)  417  -422  2020/09
• A Study on c-Regression Model Based on Gaussian Process

  Yuto Kingetsu; Yukihiro Hamasuna  第36回ファジィシステムシンポジウム  2020/09
• Map Segmentation in RoboCupRescue Using Louvain Method and Its Application to Agent Control

  Soma Kitamura, Yoshihiro Nishimura, Yukihiro Hamasuna  第36回ファジィシステムシンポジウム  2020/09
• JS ダイバージェンスを用いた k-medoids

  金月 優斗; 濵砂 幸裕  第35回ファジィシステムシンポジウム(FSS2019)  2019/08
• ボロノイ図に基づくクラスタ分割の妥当性評価

  津田 暢彦; 濵砂 幸裕  第35回ファジィシステムシンポジウム(FSS2019)  2019/08
• RoboCup 2D リーグにおけるパッキングレートを用いた評価

  大津 拓登; 北村 壮馬; 濵砂 幸裕  第35回ファジィシステムシンポジウム(FSS2019)  2019/08
• RoboCup 2D リーグに対する 5 レーン理論の実装と評価

  北村 壮馬; 大津 拓登; 濵砂 幸裕  第35回ファジィシステムシンポジウム(FSS2019)  2019/08
• クラスタ分割が重み付きアルファ複体とホモトピー同値にな るようなクラスタリングについて

  星野 翔大; 遠藤 靖典; 濵砂 幸裕  第35回ファジィシステムシンポジウム(FSS2019)  2019/08
• DP-means と階層的クラスタリングを用いた 2 段階クラスタリン

  大津拓登; 濵砂 幸裕  第 23 回曖昧な気持ちに挑むワークショップ (H&M2018)  2018/12
• 重みなしネットワークデータに対するクラスタリングとその評価

  小林 大記; 濵砂 幸裕  第34 回ファジィシステムシンポジウム(FSS2018)  2018/09
• ノード数の制約に基づくネットワーククラスタリングの検討

  中野 秀亮; 濵砂 幸裕; 遠藤 靖典  第34回ファジィシステムシンポジウム(FSS2018)  2018/09
• クラスタ分割が重み付きアルファ複体とホモトピー同値になる ような目的関数最適化に基づくクラスタリングについて

  星野 翔太; 遠藤 靖典; 濵砂 幸裕  第34回ファジィシステムシンポジウム(FSS2018)  2018/09
• ネットワークデータに対するクラスタ数推定アルゴリズムの検討

  尾﨑 稜; 濵砂 幸裕  第27回インテリジェント・システム・シンポジウム  2017/11
• 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)  1550  -1551  2017/11
• 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
• ネットワークデータに対する外れ値検出の検討

  濵砂 幸裕; 尾﨑 稜  第33回ファジィシステムシンポジウム(FSS2017)  2017/09
• 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-  6p  2017/05
• カーネル法に基づく妥当性基準を用いた2段階クラスタリング

  尾﨑 稜; 濵砂 幸裕; 遠藤 靖典  第26 回インテリジェント・システム・シンポジウム(FAN2016)  2016/10
• グラフクラスタリングに対する妥当性基準に関する一考察

  藤澤 拓也; 尾﨑 稜; 濵砂 幸裕  第26回インテリジェント・システム・シンポジウム(FAN2016)  2016/10
• カーネル関数を用いた逐次抽出型クラスタリングの検討

  濵砂 幸裕; 遠藤 靖典  第32回ファ ジィシステムシンポジウム(FSS2016)  2016/09
• On Cluster Validity Measures Based x-means for Fuzzy Partition

  Hamasuna Yukihiro; Endo Yasunori  Proceedings of the Fuzzy System Symposium  31-  99  -100  2015/09
• Practical Statistical Tests and Machine Learning(6)Introduction to Clustering : Beyond k-means

  HAMASUNA Yukihiro  Systems, control and information  59-  (6)  240  -245  2015
• 妥当性基準を用いたx-meansについて

  濵砂 幸裕; 遠藤 靖典  第6 回コンピューテーショナル・インテリジェンス研究会  2014/12
• On Semi-supervised Clustering with Assignment Prototype Term

  Hamasuna Yukihiro; Endo Yasunori  Proceedings of the Fuzzy System Symposium  30-  450  -451  2014/09
• L1正則化Assignment-Prototype Algorithmを用いたクラスタの逐次抽出

  濵砂 幸裕; 遠藤 靖典  2014/03
• L1正則化を用いたエントロピー型可能性クラスタリングについて

  濵砂 幸裕; 遠藤 靖典  第29 回ファジィシステムシンポジウム(FSS2013)  2013/09
• On Entropy Based Fuzzy Non-Metric Model with A Variable Controlling Cluster Sizes

  Hamasuna Yukihiro; Endo Yasunori  Proceedings of the Fuzzy System Symposium  29-  163  -163  2013/09
• 情報量基準を用いたファジィc-回帰モデルのクラスタ数推定

  濵砂 幸裕; 遠藤 靖典  第57回シ ステム制御情報学会研究発表講演会(SCI'13)  2013/05
• ファジィc-回帰モデルにおける最適クラスタ数の推定

  濵砂 幸裕; 遠藤 靖典  第39 回ファジィ ワークショップ  2013/03
• On Sparse Possibilistic Clustering with Crispness

  Yukihiro Hamasuna; Yasunori Endo  Proceedings of the Fuzzy System Symposium  28-  (0)  859  -862  2012/09
• クラスタワイズ許容を用いた逐次抽出型ハードクラスタリングについて

  樋口 徹; 濵砂 幸裕; 遠藤 靖典  第56回システム制御情報学会研究発表講演会(SCI'12)  2012/05
• クラスタワイズ許容による対制約を用いた半教師付き階層的クラスタリングについ

  中矢 亮祐; 濵砂 幸裕; 遠藤 靖典  第56回システム制御情報学会研究発表講演会(SCI'12)  2012/05
• クラスタワイズ許容を用いた半教師付きc-平均法の性能比較

  濵砂 幸裕; 遠藤 靖典  第38 回ファジィワークショップ  2012/03
• 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
• 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
• 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
• On principal component analysis for data with tolerance

  Yasunori Endo; Tatsuyoshi Tsuji; Yukihiro Hamasuna; Kota Kurihara  Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011  27-  177  -182  2011
• 不確実データに対するペナルティ項を伴うファジィ$c$-平均法について

  宮本 智明; 浜砂 幸裕; 遠藤 靖典  第26回ファジィシステムシンポジウム (FSS2010)  2010/09
• ウィーン経済大学における大学院教育に関する現地調査

  遠藤 靖典; 濱砂 幸裕; 宮本 定明  リスク工学研究  4-  12  -15  2008/03

Awards & Honors

• 2012/09 日本知能情報ファジィ学会 奨励賞
  

Research Grants & Projects

• 構造的ゆらぎを伴うネットワークデータに対するクラスタリング手法の拡張と高度化

  日本学術振興会：科学研究費補助金 基盤研究（C)

  Date (from‐to) : 2019/04 -2022/03 

  Author : 濵砂 幸裕
• データ構造に対して頑健なクラスタリングの開発

  公益財団法人電気通信普及財団：研究調査助成

  Date (from‐to) : 2019/04 -2020/03 

  Author : 濵砂 幸裕
• 構造的ゆらぎを伴うグラフデータに対するクラスタリング手法の確立

  Japan Society for the Promotion of Science：Grant-in-Aid for Young Scientists (B)

  Date (from‐to) : 2016/04 -2019/03 

  Author : HAMASUNA Yukihiro
• グラフデータに対する知識融合型クラスタリング技法の開発

  公益財団法人電気通信普及財団：研究調査助成

  Date (from‐to) : 2016/04 -2017/03 

  Author : 濵砂 幸裕
• 半教師付きスペクトラルクラスタリングの高度化~特に、ソーシャルデータの 解析を目的として~

  公益財団法人電気通信普及財団：研究調査助成

  Date (from‐to) : 2013/04 -2014/03 

  Author : 濵砂 幸裕

Others

• 2019/04 -2020/03  時系列データに対するクラスタリングの高度化 

  近畿大学学内研究助成金 奨励研究助成金 SR12 研究内容：時系列データに対するクラスタリングの高度化
• 2016/04 -2017/03  大規模データに対するクラスタ数推定アルゴリズムの開発 

  近畿大学学内研究助成金 奨励研究助成金 SR01 研究内容：クラスタ構造のモデル化によるクラスタ数推定アルゴリズムの開発
• 2013/04 -2013/04  クラスタ数自動推定アルゴリズムの開発 ～特に、情報量基準の観点から～ 

  近畿大学学内研究助成金 奨励研究助成金 SR04 研究内容：クラスタ数自動推定アルゴリズムの開発

Other link

researchmap

https://researchmap.jp/yhamasuna