Cluster validation for mixtures of regressions via the total sum of squares decomposition
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Publication:779062
DOI10.1007/s00357-019-09326-4OpenAlexW2961077116MaRDI QIDQ779062
Antonio Punzo, Salvatore Ingrassia
Publication date: 21 July 2020
Published in: Journal of Classification (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00357-019-09326-4
EM algorithmmodel-based clusteringmaximum likelihoodcluster validationmixtures of regressionsternary diagram
Related Items (6)
Multivariate cluster-weighted models based on seemingly unrelated linear regression ⋮ Cluster‐based gradient method for stochastic optimal control problems with elliptic partial differential equation constraint ⋮ Local and overall deviance R-squared measures for mixtures of generalized linear models ⋮ Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model ⋮ A semi-parametric density estimation with application in clustering ⋮ Matrix normal cluster-weighted models
Uses Software
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