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Vector-valued skewness for model-based clustering

Nicola Loperfido ()

Statistics & Probability Letters, 2015, vol. 99, issue C, 230-237

Abstract: When data come from a mixture of two weakly symmetric distributions with different means and proportional covariances, we estimate the best linear discriminant projection with the projection of the standardized data onto the direction of a vector-valued measure of skewness.

Keywords: Invariant co-ordinate selection; Linear discriminant function; Projection pursuit; Proportional covariance; Two-component mixture (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1016/j.spl.2015.01.018

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