The nested joint clustering via Dirichlet process mixture model

• Published in: Journal of statistical computation and simulation Vol. 89; no. 5; pp. 815 - 830
• Main Authors: Han, Shengtong, Zhang, Hongmei, Sheng, Wenhui, Arshad, Hasan
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 24.03.2019; Taylor & Francis Ltd
• Subjects: Clustering; Complex variables; Computer simulation; Dirichlet mixture model; Dirichlet problem; joint clustering; longitudinal data; Probabilistic models

This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both the common and unique patterns are taken into acc...