A new approach to classification

R. Fuentes-Garcia and S. G. Walker

Journal of Applied Statistics, 2010, vol. 37, issue 1, 137-146

Abstract: 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.

Keywords: clustering; classification; latent variable; normal mixture-model; random histogram (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1080/02664760802698987

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