A finite mixture model for the clustering of mixed-mode data

This paper presents a finite mixture density which might be a potentially useful model for the clustering of mixed mode data. A simplex algorithm is used to obtain maximum likelihood estimates and several small scale numerical examples indicate that its performance is relatively satisfactory.

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Year of publication:	1988
Authors:	Everitt, B. S.
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 6.1988, 5, p. 305-309
Publisher:	Elsevier
Keywords:	finite mixtures clustering maximum likelihood estimation simplex algorith

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005224177