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:The present paper deals with the choice of clustering algorithms before treatinga k-sample problem. We investigate multivariate data sets that are quantizedby algorithms that define partitions by maximal support planes (MSP)of a convex function. These algorithms belong to a wide class containingas special cases both the well known k-means algorithm and the Kohonen(1985) algorithm and have been profoundly investigated by Potzelberger andStrasser (1999). For computing the test statistics...

Multivariate permutation tests for the k-sample problem with clustered data