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 Interests||Fundamental research of cluster analysis
Data Analysis Using Soft Computing
Big Data Analysis
（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.
|BE、ME and DE from University of Tsukuba|
Fundamentals of Intelligent Informatics Laboratory