Academic Staff and Fellows

HAMASUNA Yukihiro: Associate Professor Ph.D. (Engineering); 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 Machine Learning Data Science
Research Interests	Fundamental research of cluster analysis Data Analysis Using Soft Computing Network science
Selected Publications	（1）Y. Kingetsu, Y. Hamasuna, "Jensen-Shannon Divergence based k-medoids Clustering", Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol. 25, No. 2, pp. 226–233, 2021. （2）Y. Endo, K. Hoshino, Y. Hamasuna, "On Hard c-Means with Cluster Radius that Makes the Cluster Partition Homotopy Equivalent to Weighted α-Complex", Journal of Ambient Intelligence and Humanized Computing (AIHC), 2020. （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 Note that this e-mail address has replaced the "@" with "(at)" to prevent spam. When e-mailing, replace the "(at)" with "@".