Vector-valued skewness for model-based clustering
Nicola Loperfido ()
Statistics & Probability Letters, 2015, vol. 99, issue C, 230-237
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)
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