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.