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

B. S. Everitt

Statistics & Probability Letters, 1988, vol. 6, issue 5, 305-309

Abstract: 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.

Keywords: finite; mixtures; clustering; maximum; likelihood; estimation; simplex; algorith (search for similar items in EconPapers)
Date: 1988
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