2 papers
cs.LG2024
A simulation study of cluster search algorithms in data set generated by Gaussian mixture models
Ryosuke Motegi, Yoichi Seki
Determining the number of clusters is a fundamental issue in data clustering. Several algorithms have been proposed, including centroid-based algorithms using the Euclidean distanc…
cs.LG2021
SMLSOM: The shrinking maximum likelihood self-organizing map
Ryosuke Motegi, Yoichi Seki
Determining the number of clusters in a dataset is a fundamental issue in data clustering. Many methods have been proposed to solve the problem of selecting the number of clusters,…