SATO-ILIC Mika

Researcher's full information

Articles

• Fuzzy Dissimilarity Based Multidimensional Scaling and Its Application to Collaborative Learning Data
  Sato-Ilic Mika; Ilic Peter
  Procedia Computer Science, Elsevier/20/pp.490-495, 2013
• Two Covariances Harnessing Fuzzy Clustering Based PCA for Discrimination of Microarray Data
  Sato-Ilic Mika
  Lecture Notes in Bioinformatics, Springer-Verlag, Berlin Heidelberg (Germany), L.E. Peterson, F. Masulli, G. Russo, eds./pp.158-172, 2013
• On Similarity of Clusters based on Clustering of Evaluation Data and its Application
  イリチユ 美佳; 千葉龍之介
  Proceeding of the 31st Annual Research Meeting of the Japanese Classification Society, 2013
• Special issue: Computational intelligence models for image processing and information reasoning
  Lim Chee Peng; Abeynayake Canicious; Sato-Ilic Mika; Jain...
  JOURNAL OF INTELLIGENT & FUZZY SYSTEMS/24(2:::SI)/pp.199-200, 2013-01
• Analysis of Web Survey Data based on Similarity of Fuzzy Clusters
  Chiba Ryunosuke; Sato-Ilic Mika
  Procedia Computer Sciences/12/pp.224-229, 2012-11
• On Fuzzy Clustering based Correlation
  Sato-Ilic Mika
  Procedia Computer Sciences, Elsevier/12/pp.230-235, 2012-11
• Fuzzy Clustering Model based on Operators on a Product Space of Linear Spaces
  Sato-Ilic Mika
  20th International Conference on Computational Statistics, 2012-08
• Two Covariances Harnessing Fuzzy Clustering for Discrimination of Microarray Data
  M. Sato-Ilic
  the Ninth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics/in press, 2012-07
• Structural Classification based Correlation and its Application to Principal Component Analysis for High-Dimension Low-Sample Size Data
  Sato-Ilic Mika
  IEEE World Congress on Computational Intelligence, 2012-06
• A Structural Analysis based on Similarity between Fuzzy Clusters and its Application to Evaluation Data
  R. Chiba; T. Furutani; Sato-Ilic Mika
  Intelligent Decision Technologies(IDT'2012)/15/pp.77-87, 2012-05
• リスク工学グループ演習について
  佐藤 美佳
  Risk Engineering/8/p.65-66, 2012-03
• An Awarded Paper entitled “Generalized Aggregation Operator based Nonlinear Fuzzy Clustering Model”
  M. Sato-Ilic
  Risk Engineering/9/p.17-22, 2012-03
• Structural Classification based Correlation and its Application to Principal Component Analysis for High-Dimension Low-Sample Size Data
  Sato-Ilic Mika
  IEEE World Congress on Com- putational Intelligence/pp.981-988, 2012-01
• A Learning based Self-Organized Additive Fuzzy Clustering Method and Its Application for EEG Data
  T. Kuwata; M. Sato-Ilic; L.C. Jain
  International Journal of Knowledge-Based and Intelligent Engineering Systems/16/p.69-78, 2012-01
• Symbolic Clustering with Interval-Valued Data
  M. Sato-Ilic
  Procedia Computer Sciences/6/pp.358-363, 2011-11
• Application of a Learning-Based Self-Organized Additive Fuzzy Clustering Method Integrated with the COSA Algorithm
  T. Kuwata; M. Sato-Ilic
  The 8th International Symposium on Management Engineering/p.99-104, 2011-08
• Clustering High Dimension Low Sample-Size Data with Fuzzy Cluster-based Principal Component Analysis
  M. Sato-Ilic
  The 58th ISI World Statistics Congress/p.cps024-5, 2011-08
• Generalized Operators and Its Application to A Nonlinear Fuzzy Clustering Model
  M. Sato-Ilic
  IEEE Symposium Series on Computational Intelligence 2011/p.69-75, 2011-04
• データ科学の視点からみた教育の国際化
  佐藤 美佳
  Risk Engineering/7/p.12-13, 2011-03
• Generalized Aggregation Operator Based Nonlinear Fuzzy Clustering Model
  M. Sato-Ilic
  Intelligent Engineering Systems through Artificial Neural Networks/20/p.493-500, 2010-11
• Fuzzy Clusterwise Analyses in High Dimensional Space
  M. Sato-Ilic
  Seventh International Symposium on Management Engineering/p.5-6, 2010-08
• A Cluster-Target Similarity Based Principal Component Analysis for Interval-Valued Data
  M. Sato-Ilic
  19th International Conference on Computational Statistics/p.1605-1612, 2010-08
• An Adaptive Cluster-Target Covariance based Principal Component Analysis for Interval-Valued Data
  M. Sato-Ilic
  IEEE World Congress on Computational Intelligence/p.616-623, 2010-07
• An Adaptive Cluster-Target Covariance based Principal Component Analysis for Interval-Valued Data
  Sato-Ilic Mika
  IEEE World Congress on Computational Intelligence/pp.616-623, 2010
• Dissimilarity Based Principal Component Analysis Using Fuzzy Clustering
  M. Sato-Ilic
  Advances in Intelligent and Soft Computing, Integrated Uncertainty Management and Applications/68, 2010-03
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