Model Based Clustering for Mixed Data: clustMD

A model based clustering procedure for data of mixed type, clustMD, is developed using a latent variable model. It is proposed that a latent variable, following a mixture of Gaussian distributions, generates the observed data of mixed type. The observed data may be any combination of continuous, bin...

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Veröffentlicht in:	arXiv.org 2015-11
Hauptverfasser:	McParland, Damien, Gormley, Isobel Claire
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Computer simulation Covariance Economic models Mathematical models Prostate
Online-Zugang:	Volltext
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