Yukihiro Hamasuna

Two-Stage Clustering Based on Cluster Validity Measures

2018 · Journal of Advanced Computational Intelligence and Intelligent Informatics

To handle a large-scale object, a two-stage clustering method has been previously proposed. The method generates a large number of clusters during the first stage and merges clusters during the second stage. In this paper, …

Jensen–Shannon Divergence-Based<i>k</i>-Medoids Clustering

2021 · Journal of Advanced Computational Intelligence and Intelligent Informatics

Several conventional clustering methods use the squared L 2 -norm as the dissimilarity. The squared L 2 -norm is calculated from only the object coordinates and obtains a linear cluster boundary. To extract meaningful cluster …