Co-clustering for object by variable data matrices.- How to use the Hermitian Form Model for asymmetric MDS.- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios.- Comparing partitions of the Petersen graph.- Minkowski distances and standardisation for clustering and classification on high dimensional data.
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