イリチユ 美佳(イリチユ ミカ)
- 論文
- 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 - Fuzzy Principal Component Analysis for Interval-Valued Data Considering Classification Structure of Objects in High Dimensional Space
M. Sato-Ilic
57th Session of International Statistical Institute/p.193, 2009-08 - Generalized Kernel Fuzzy Clustering Model
M. Sato-Ilic; S. Ito; and S. Takahashi
FUZZ-IEEE2009, The IEEE International Conference on Fuzzy Systems/p.421-426, 2009-08 - Fuzzy Cluster Number Selection Based on Alignment Of Similarities
M. Sato-Ilic; D. Wu
The 6th International Symposium on Management Engineering, 2009-08 - Fuzzy Clustering based Regression with Attribute Weights
M. Sato-Ilic
Cooperation in Classification and Data Analysis/p.71-80, 2009-07 - Fuzzy Regression Models on Entropy based Blocking Structures
M. Sato-Ilic
International Journal of Innovative Computing, Information and Control/5(6)/p.1475-1483, 2009-06 - Generalized Kernel Fuzzy Clustering Model
Sato-Ilic Mika; Ito Shota; Takahashi Shota
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS/pp.421-426, 2009-01 - On A Kernel Fuzzy Clustering Model and Its Applications
S. Ito; M. Sato-Ilic
Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis/p.709-718, 2008-12 - さらに表示...
- A Learning based Self-Organized Additive Fuzzy Clustering Method and Its Application for EEG Data