Sato-Ilic Mika

Researcher's full information

Conference, etc.
  • 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
  • Clustering Innovations in Data Science
    Sato-Ilic Mika
    Complex Adaptive Systems 2014 Conference (CAS2014)/2014-11-03--2014-11-05
  • 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/2014-11-10--2014-11-12
  • A Fuzzy Clustering Method for Multi Source Data, Workshop on Statistical Methods for Large Complex Data
    Sato-Ilic Mika; T. Hatori
    Workshop on Statistical Methods for Large Complex Data/2014-11-10--2014-11-12
  • A Fuzzy Clustering Method for Multi Source Data, Workshop on Statistical Methods for Large Complex Data
    Sato-Ilic Mika
    Workshop on Statistical Methods for Large Complex Data/2014
  • On a Multidimensional Cluster Scaling
    Sato-Ilic Mika; Ilic Peter
    Complex Adaptive Systems/2014-11-3--2014-11-5
  • more...