イリチュ 美佳(イリチュ ミカ)
- 論文
- 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 - 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
リスク工学研究/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 - Fuzzy Classification Structure Based Analyses Through High Dimensional Data Space
M. Sato-Ilic
Joint Meeting of Japan-Korea Special Conference of Statistics, 2010-02 - An Adaptive Cluster-Target Covariance based Principal Component Analysis for Interval-Valued Data
Sato-Ilic Mika
FUZZ-IEEE2010/pp.0-0, 2010-01 - Special Issue: Advances and Applications of Knowledge-based Intelligent Systems
C.P. Lim; R.J. Howlett; L.C. Jain; M. Sato-Ilic
International Journal of Advanced Intelligence Paradigms/2(1), 2010-01 - Self-Organized Similarity based Kernel Fuzzy Clustering Model and Its Applications
T. Kuwata; M. Sato-Ilic
5th International Workshop on Computational Intelligence & Applications 2009/p.127-131, 2009-11 - Self-Organized Kernel Fuzzy Clustering Method and Its Evaluation for the Number of Clusters based on Alignment of Similarities
M. Sato-Ilic; T. Kuwata
Intelligent Engineering Systems through Artificial Neural Networks/19/p.75-82, 2009-11 - Nonlinear Kernel-Based Fuzzy Clustering Model
M. Sato-Ilic; S. Ito; and S. Takahashi
Developments in Fuzzy Clustering, VEVER, 2009-10 - さらに表示...
- Fuzzy Clustering Model based on Operators on a Product Space of Linear Spaces