SATO-ILIC Mika
- Articles
- Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient
Toko Yukako; Wada Kazumi; Iijima Shinya; Sato-Ilic Mika
Intelligent Decision Technologies 2018/97/pp.54-64, 2018-06 - Cluster-Scaled Regression Analysis for High-Dimension and Low-Sample Size Data
Sato-Ilic Mika
Advances in Smart Systems Research/7(1)/pp.1-10, 2018-06 - Overlapping classification for autocoding system
Toko Yukako; Iijima Shinya; Sato-Ilic Mika
ROMANIAN STATISTICAL REVIEW/(4)/pp.58-73, 2018 - Knowledge-based Comparable Predicted Values in Regression Analysis
Sato-Ilic Mika
Procedia Computer Science, Elsevier/114/pp.216-223, 2017-11 - A Simultaneous Fuzzy Clustering Method for 3-Way Multi-Source Data
イリチユ 美佳; 矢吹健二
Proceedings of the Fuzzy System Symposium/33/pp.441-446, 2017-09 - 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 - 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
the 34th Annual Research Meeting of the Japanese Classification Society/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
the 34th Annual Research Meeting of the Japanese Classification Society/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
the 34th Annual Research Meeting of the Japanese Classification Society/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
the 34th Annual Research Meeting of the Japanese Classification Society/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 - Correlation Analysis based on Classification Structures
イリチユ 美佳
Joint Convention of Statistical Societies, 2013-09 - Fuzzy Clustering Based Correlation and Its Application to Principal Component Analysis
Sato-Ilic Mika
the 59th ISI World Statistics Congress, 2013 - more...
- Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient