イリチユ 美佳(イリチユ ミカ)
- 論文
- Knowledge-based Comparable Predicted Values in Regression Analysis
Sato-Ilic Mika
Procedia Computer Science, Elsevier/114/pp.216-223, 2017-11 - Cluster Identification and Scaling Methods based on Comparative Quantification for Dissimilarity Data
Sato-Ilic Mika; Ilic Peter
The 2017 IEEE International Conference on Fuzzy Systems, 2017-07 - Overlapping classification for autocoding system
Toko Yukako; Iijima Shinya; Sato-Ilic Mika
ROMANIAN STATISTICAL REVIEW/(4)/pp.58-73, 2018 - ３元マルチソースデータに対する同時ファジィクラスタリング手法
イリチユ 美佳; 矢吹健二
第 33 回ファジィシステムシンポジウム講演論文集/33/pp.441-446, 2017-09 - Individual Compositional Cluster Analysis
Sato-Ilic Mika
Procedia Computer Science/95/pp.254-263, 2016 - Visualization of Fuzzy Clustering Result in Metric Space
Sato-Ilic Mika; Ilic Peter
Procedia Computer Sciences/96/pp.1666-1675, 2016 - Fuzzy Correlational Direction Multidimensional Scaling
Sato-Ilic Mika
Soft Computing Applications/2/pp.841-850, 2016 - A Model of Cluster Loading and Its Application for a Variable Selection of High Dimension Low Sample Size Data
J. Chen; Sato-Ilic Mika
日本分類学会第34回大会/pp.6-8, 2016-03 - 判定式に基づくカーネルk-means法
辻 陽介; イリチユ 美佳
日本分類学会第34回大会/pp.9-11, 2016-03 - 外的基準を持つデータの主成分に基づく変数選択法
山本 智基; イリチユ 美佳
日本分類学会第34回大会/pp.18-20, 2016-03 - 離島における分類構造を利用した人口減少に関する解析
吉元 翔汰; イリチユ 美佳
日本分類学会第34回大会/pp.31-33, 2016-03 - 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 - さらに表示...
- Knowledge-based Comparable Predicted Values in Regression Analysis