Sato-Ilic Mika
- Conference, etc.
- Multilayer Clustering based on T-norms for High-Dimension Low-Sample Size Data
伊藤佳輝; 元田卓; イリチユ 美佳
34th Fuzzy System Symposium/2018-09-03--2018-09-05 - A Proposal for a Method of Forming Survey Blocks in the Economic Census for Business Frame: Development of a New Algorithm of Constrained Cluster Analysis Using the Information of Spatial Representative Points
髙橋雅夫; 浅川智雄; イリチユ 美佳
地理情報システム学会 第27回学術研究発表大会/2018-10-20--2018-10-21 - Modeling New Complex Data Structures
Sato-Ilic Mika
Complex Adaptive Systems2017/2017-10-30 - Cluster Identification and Scaling Methods based on Comparative Quantification for Dissimilarity Data
Sato-Ilic Mika; Ilic Peter
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)/2017-07-09--2017-07-12 - A Fuzzy Clustering based Data Fusion Method
Sato-Ilic Mika
11th International Conference on Computational and Financial Econometrics and 10th International Conference of the ERCIM Working Group on Computational and Methodological Statistics/2017-12-16--2017-12-18 - Knowledge-based Comparable Predicted Values in Regression Analysis
Sato-Ilic Mika
Complex Adaptive Systems 2017/2017-10-30--2017-11-01 - Cluster-Scaled Forecasting Method For High-Dimension Low-Sample Size Data
Sato-Ilic Mika
The 6th Japanese-German Symposium on Classification/2017-08-11--2017-08-12 - Asymmetric Clustering Methods based on Orthogonal Projector to the Intersection of Subspaces
イリチユ 美佳
2017年度統計関連学会連合大会講演報告集/2017-09-03--2017-09-06 - A Simultaneous Fuzzy Clustering Method for 3-Way Multi-Source Data
矢吹健二; イリチユ 美佳
FSS2017/2017-09-13--2017-09-15 - Soft Data Analysis Based on Cluster Scaling
Sato-Ilic Mika
Soft Computing Applications (SOFA) 2016/2016-08-24--2016-08-26 - Individual Compositional Cluster Analysis
Sato-Ilic Mika
CAS2016/2016-11-02--2016-11-04 - Visualization of Fuzzy Clustering Result in Metric Space
Sato-Ilic Mika; Ilic Peter
20th International Conference on Knowledge - Based and Intelligent Information and Engineering Systems (KES)/2016-09-05--2016-09-07 - On A Method of Variable Selection for High-Dimension Low Sample Size Data
イリチユ 美佳
The 40th Research Society of Tokai Chapter of The Japan Society for Fuzzy Theory and Intelligent Informatics/2016-2-11--2016-2-12 - 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/2016-02-29--2016-03-01 - 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/2016-02-29--2016-03-01 - 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/2016-02-29--2016-03-01 - 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/2016-02-29--2016-03-01 - 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/2015-12-12--2015-12-14 - Multidimensional Joint Scale and Cluster Analysis
Sato-Ilic Mika
Complex Adaptive Systems 2015/2015-11-02--2015-11-04 - A variable selection method considering cluster loading for labeled high dimension low sample size data
Jiaxin Chen; Sato-Ilic Mika
19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems/2015-09-07--2015-09-09 - On A Variable Selection Method based on the Relationship between Discrimination Information and Principal Components
Yamamoto Toshiki; Sato-Ilic Mika
31st Fuzzy System Symposium/2015-09-02--2015-09-04 - 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/2015-12-17--2015-12-19 - Cluster-Scaled Analysis and Its Application for High-dimensional Data
イリチユ 美佳
The 39th Research Society of Tokai Chapter of The Japan Society for Fuzzy Theory and Intelligent Informatics/2015-08-09--2015-08-10 - ラベル付き高次元小標本データに対するクラスター負荷量を考慮した変数選択法
陳 嘉欣; イリチユ 美佳
第10回筑波大学ソフトコンピューティング学域セミナー 研究会/2015-03-09--2015-03-09 - Clustering-based Models from Model-based Clustering
Sato-Ilic Mika
Department of Databases and Machine Learning, LIP6, University of Paris (UPMC), Paris, France in cooperation with the France chapter of the IEEE Computational Intelligence Society/2014-09-11--2014-09-11 - more...
- Multilayer Clustering based on T-norms for High-Dimension Low-Sample Size Data