Journal article
Matrix Normal Cluster-Weighted Models
Abstract
Finite mixtures of regressions with fixed covariates are a commonly used model-based clustering methodology to deal with regression data. However, they assume assignment independence, i.e., the allocation of data points to the clusters is made independently of the distribution of the covariates. To take into account the latter aspect, finite mixtures of regressions with random covariates, also known as cluster-weighted models (CWMs), have been …
Authors
Tomarchio SD; McNicholas PD; Punzo A
Journal
Journal of Classification, Vol. 38, No. 3, pp. 556–575
Publisher
Springer Nature
Publication Date
10 2021
DOI
10.1007/s00357-021-09389-2
ISSN
0176-4268