Academic Staff and Fellows

Yukihiro HAMASUNA
Lecturer Ph.D. (Engineering)
Department/Informatics  Graduate school/Electronic Engineering

This laboratory is promoting greater sophistication in data analysis techniques, in particular, clustering, and is actively working on the development of new data analysis methods that will constitute useful tools for data mining, as well as their application.

Fundamental research of cluster analysis

Research Area Clustering
Soft Computing
Data Science
Research Interests Fundamental research of cluster analysis
Data Analysis Using Soft Computing
Big Data Analysis
Selected Publications (1)Y. Hamasuna, R. Ozaki, and Y. Endo, “Two-stage Clustering Based on Cluster Validity Measures”, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol.22, No.1, pp.54-61, 2018.
(2)Y. Hamasuna, N. Kinoshita, and Y. Endo, “Comparison of Cluster Validity Measures Based x-means”, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol.20, No.5, pp.845-853, 2016.
(3)Y. Hamasuna, Y. Endo, “On Semi-supervised Fuzzy c-Means Clustering for Data with Clusterwise Tolerance by Opposite Criteria”, Soft Computing, Vol.17, No.1, pp.71-81,2013.
Education
(Undergraduate Course)
BE、ME and DE from University of Tsukuba

Fundamentals of Intelligent Informatics Laboratory

E-mail yhama(at)info.kindai.ac.jp
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Academic Staff and Fellows