SATO-ILIC Mika
- Conference, etc.
- Homogeneous Cluster Analysis
Sato-Ilic Mika
Complex Adaptive Systems 2018/2018-11-05--2018-11-07 - 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 - Overlapping Classification for Autocoding System
Yoko Yukako; Iijima Shinya; Sato-Ilic Mika
Use of R in Official Statistics 2018/2018-09-13--2018-09-14 - Japanese Joint Statistical Meeting 2018
小林大悟; イリチユ 美佳
分類構造に基づく異常検知手法/2018-09-09--2018-09-13 - 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 - Soft Clustering-based Models
Sato-Ilic Mika
23rd International Conference on Computattional Statistics (COMPSTAT 2018)/2018-08-28--2018-08-31 - Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient
Toko Yukako; Wada Kazumi; Iijima Shinya; Sato-Ilic Mika
KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22 - Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction
Takahashi Masao; Sato-Ilic Mika; Motoki
KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22 - Cluster-Scaled Regression Analysis for High-Dimension and Low-Sample Size Data
Sato-Ilic Mika
KES-Intelligent Decision Technologies2018/2018-06-20--2018-06-22 - 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 - Modeling New Complex Data Structures
Sato-Ilic Mika
Complex Adaptive Systems2017/2017-10-30 - Knowledge-based Comparable Predicted Values in Regression Analysis
Sato-Ilic Mika
Complex Adaptive Systems 2017/2017-10-30--2017-11-01 - 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 - 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 - 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 - 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 - 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 - Soft Data Analysis Based on Cluster Scaling
Sato-Ilic Mika
Soft Computing Applications (SOFA) 2016/2016-08-24--2016-08-26 - 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 - 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 - 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 - more...
- Homogeneous Cluster Analysis