ENDO Yasunori

Researcher's full information

Articles
  • Fuzzy c-Means Clustering with Mutual Relation Constraints -Construction of Two Types of Algorithms-
    Yasunori Endo; Yukihiro Hamasuna
    15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2011), 2011-09
  • Fuzzy c-Means Clustering for Data with Tolerance using Cosine Correlation
    Aoi Takahashi; Yasunori Endo; Sadaaki Miyamoto
    Proc. of The 2011 IEEE International Conference on Granular Computing/p.619-624, 2011-11
  • On Semi-supervised Fuzzy c-Means Clustering with Clusterwise Tolerance by Opposite Criteria
    Yukihiro Hamasuna; Yasunori Endo
    Proc. of The 2011 IEEE International Conference on Granular Computing/p.225-230, 2011-11
  • On Principal Component Analysis for Data with Tolerance
    Yasunori Endo; Tatsuyoshi Tsuji; Yukihiro Hamasuna; Sadaa...
    Proc. of The 2011 IEEE International Conference on Granular Computing/p.177-182, 2011-11
  • On Fuzzy c-Means Clustering with Mutual Relation Constraints
    Yasunori Endo; Yukihiro Hamasuna
    11th International Conference on Intelligent Systems Design and Applications, 2011-11
  • Fuzzy c-Means Clustering for Uncertain Data using Quadratic Penalty-Vector Regularization
    Yasunori Endo; Yasushi Hasegawa; Yukihiro Hamasuna; Sadaa...
    Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)/15(1)/p.76-82, 2011-01
  • Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance
    Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto
    Lecture Notes in Artificial Intelligence/6820/p.103-113, 2011-01
  • On Hard c-Means using Quadratic Penalty-Vector Regularization for Uncertain Data
    Yasunori Endo; Arisa Taniguchi; Aoi Takahashi; Yukihiro ...
    Lecture Notes in Artificial Intelligence/6820/p.126-138, 2011-01
  • On FNM-based and RFCM-based Fuzzy Co-Clustering Algorithm
    Yuchi Kanzawa; Yasunori Endo
    Proc. of The 2012 IEEE World Congress on Computational Intelligence/p.#35, 2012-06
  • On Objective-Based Rough c-Means Clustering
    Yasunori Endo; Naohiko Kinoshita
    Proc. of The 2012 IEEE International Conference on Granular Computing (GrC2012), 2012-08
  • On Kernel Fuzzy c-Means for Data with Tolerance using Explicit Mapping for Kernel Data Analysis
    Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
    Journal of Advanced Computational Intelligence and Intelligent Informatics/16(1)/p.162-168, 2012-01
  • On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints
    Yukihiro Hamasuna; Yasunori Endo
    Journal of Advanced Computational Intelligence and Intelligent Informatics/16(1)/p.174-179, 2012-01
  • On Entropy Based Fuzzy Non Metric Model -Proposal, Kernelization and Pairwise Constraints-
    Yasunori Endo
    Journal of Advanced Computational Intelligence and Intelligent Informatics/16(1)/p.169-173, 2012-01
  • Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions
    Y. Kanzawa; Y. Endo; S. Miyamoto
    Proc. of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2006)/p.1753-1756, 2006-09
  • Metaheuristic Algorithms for Container Loading Problem Using Grouping Objects
    Y. Endo; S. Miyamoto; K. Hanzawa; Y. Hamasuna
    Proc. of NOLTA2006, Sept.11-14, 2006, Bologna, Italy/p.887-890, 2006-09
  • Two Types of Fuzzy c-Means for Data with Tolerance
    Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
    Proc. 2006 International Symposium on Nonlinear Theory and Its Applications/p.787-790, 2006-09
  • Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization,
    S. Miyamoto; Y. Endo; K. Hanzawa; Y. Hamasuna
    Journal of Advanced Computational Intelligence and Intelligent Informatics/11(1)/p.51-60, 2007-01
  • Two Clustering Algorithms for Data with Tolerance based on Hard c-Means
    Y. Hamasuna; Y. Endo; Y. Hasegawa; S. Miyamoto
    Proc. of FUZZ-IEEE2007, July 23-26, London/p.688-691, 2007-07
  • Fuzzy Classification Function of Fuzzy c-Means Algorithms for Data with Tolerance
    Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto
    WCCI 2008 Proceedings, 2008 IEEE World Congress on Coputational Intelligence/p.1081-1088, 2008-06
  • On Intuitionistic Fuzzy Clustering for its Application to Privacy
    Vicenc Torra; Sadaaki Miyamoto; Yasunori Endo; Josep Dom...
    WCCI 2008 Proceedings, 2008 IEEE World Congress on Coputational Intelligence/p.1042-1048, 2008-06
  • Support Vector Machine for Data with Tolerance based on Hard-Margin and Soft-Margin
    Hamasuna Yukihiro; Endo Yasunori; Miyamoto Sadaaki
    WCCI 2008 Proceedings, 2008 IEEE World Congress on Coputational Intelligence/pp.750-755, 2008-06
  • Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range
    Y. Endo; Y. Hasegawa; Y. Hamasuna; S. Miyamoto
    Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)/12(5)/p.461-466, 2008-09
  • New Clustering Algorithms by using Tolerance Vector
    Y. Hamasuna; Y. Endo; S. Miyamoto
    V.Torra, Y. Narukawa, eds., CD-ROM Proc. of MDAI 2008/p.50-59, 2008-10
  • On the comparison of some fuzzy clustering methods for privacy preserving data mining: towards the development of specific information loss measures
    V. Torra; Y. Endo; S. Miyamoto
    Kybernetika/45(3)/p.548-560, 2009-07
  • On Tolerant Fuzzy c-Means Clustering
    Y. Hamasuna; Y. Endo; S. Miyamoto
    Journal of Advanced Computational Intelligence and Intelligent Informatics/13(4)/p.421-428, 2009-07
  • more...