A new approach to classification

Clustering is a common and important issue, and finite mixture models based on the normal distribution are frequently used to address the problem. In this article, we consider a classification model and build a mixture model around it. A good assessment of the allocation of observations and number of clusters is easily obtained from this approach.

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Year of publication:	2010
Authors:	Fuentes-Garcia, R. ; Walker, S. G.
Published in:	Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 37.2010, 1, p. 137-146
Publisher:	Taylor & Francis Journals
Subject:	clustering \| classification \| latent variable \| normal mixture-model \| random histogram

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008582914