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Matrix Normal Cluster-Weighted Models
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