イリチユ 美佳(イリチユ ミカ)
- 論文
- A Fuzzy Cluster Scaling Model
Sato-Ilic Mika
The 8th International Conference of the European Research Consortium for Informatics and Mathematics Working Group on Computational and Methodological Statistics/p.185, 2015-12 - Clustering-based Models for High-dimensional Data
Sato-Ilic Mika
The 9th Conference of the Asian Regional Section of the International Association for Statistical Computing/pp.114-115, 2015-12 - Multidimensional Joint Scale and Cluster Analysis
Sato-Ilic Mika
Procedia Computer Science/61/pp.11-17, 2015-11 - On A Variable Selection Method based on the Relationship between Discrimination Information and Principal Components
Yamamoto Toshiki; Sato-Ilic Mika
31st Fuzzy System Symposium/31(0)/pp.75-80, 2015-09 - A variable selection method considering cluster loading for labeled high dimension low sample size data
Jiaxin Chen; Sato-Ilic Mika
Procedia Computer Science/60/pp.850-859, 2015 - A Method for Interpreting Principle Components using Discrimination Information and Its Application to EEG Data
Sato-Ilic Mika; T. Yamamoto
Workshop on Statistical Methods for Large Complex Data/pp.45-51, 2014 - A Fuzzy Clustering Method for Multi Source Data
Sato-Ilic Mika; T. Hatori
Workshop on Statistical Methods for Large Complex Data/pp.35-44, 2014 - On a Multidimensional Cluster Scaling
Sato-Ilic Mika; Ilic Peter
Procedia Computer Sciences/36/pp.278-284, 2014 - Universal Fuzzy Clustering Model
Sato-Ilic Mika
IEEE World Congress on Computational Intelligence/pp.2071-2078, 2014 - A fuzzy clustering method using the relative structure of the belongingness of objects to clusters
Hatori Tosei; Sato-Ilic Mika
Procedia Computer Sciences/35/pp.994-1002, 2014 - 分類構造に基づく相関分析
イリチユ 美佳
2013年度統計関連学会連合大会, 2013-09 - Fuzzy Clustering Based Correlation and Its Application to Principal Component Analysis
Sato-Ilic Mika
the 59th ISI World Statistics Congress, 2013 - 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 - 評価データのクラスタリングに基づくクラスター間類似度とその応用
イリチユ 美佳; 千葉龍之介
日本分類学会第３１回大会, 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
リスク工学研究/8/p.65-66, 2012-03 - An Awarded Paper entitled “Generalized Aggregation Operator based Nonlinear Fuzzy Clustering Model”
M. Sato-Ilic
リスク工学研究/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 - さらに表示...
- A Fuzzy Cluster Scaling Model