Innovations in Fuzzy Clustering: Theory and Applications by Mika Sato-Ilic
Cluster‐scaled principal component analysis - Sato‐Ilic - - WIREs Computational Statistics - Wiley Online Library
Mika SATO-ILIC | University of Tsukuba, Tsukuba
ON WEIGHTED PRINCIPAL COMPONENT ANALYSIS FOR INTERVAL-VALUED DATA AND ITS DYNAMIC FEATURE Mika Sato-Ilic and Junya Oshima Receiv
Mika SATO-ILIC | University of Tsukuba, Tsukuba
COMPUTATIONAL INTELLIGENCE
Self-Organized Similarity based Kernel Fuzzy Clustering Model and Its Applications
Amazon.com: Innovations in Fuzzy Clustering: Theory and Applications (Studies in Fuzziness and Soft Computing Book 205) eBook : Sato-Ilic, Mika: Kindle Store
NTTS 2019, March 2019 Yukako Toko, Shinya Iijima, Mika Sato-Ilic - ppt download
Best Paper Awards of Complex Adaptive Systems 2015
Mika SATO-ILIC | University of Tsukuba, Tsukuba
Mika SATO-ILIC | University of Tsukuba, Tsukuba
KES-IDT-12 : Keynote Speakers
Advances in Knowledge-based Statistical Data Analysis
Mika SATO-ILIC | University of Tsukuba, Tsukuba
Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method | SpringerLink
Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method | SpringerLink
Best Paper Awards of Complex Adaptive Systems 2014
Mika SATO-ILIC | University of Tsukuba, Tsukuba
Peter ILIC | Professor (Associate) | Doctor of Education (Ph.D.) | The University of Aizu, Fukushima | Center for Language Research | profile on ResearchGate
Mika SATO-ILIC | University of Tsukuba, Tsukuba
Best Paper Awards of ANNIE 2006
Mika SATO-ILIC | University of Tsukuba, Tsukuba
GENERAL CLASS OF WEIGHTED FUZZY CLUSTER LOADING MODELS Mika Sato-Ilic Received December 2006; revised June 2007 1. Introduction.
