2 papers
cs.LG2025
Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures
Yung-Peng Hsu, Hung-Hsuan Chen
Clustering is essential in data analysis and machine learning, but traditional algorithms like -means and Gaussian Mixture Models (GMM) often fail with nonconvex clusters. To ad…
cs.LG2024
Multivariate Beta Mixture Model: Probabilistic Clustering With Flexible Cluster Shapes
Yung-Peng Hsu, Hung-Hsuan Chen
This paper introduces the multivariate beta mixture model (MBMM), a new probabilistic model for soft clustering. MBMM adapts to diverse cluster shapes because of the flexible proba…