clusterSim: Searching for optimal clustering procedure for a data set
GDM Distance, Sokal-Michener Distance, Bray-Curtis
Distance, Calinski-Harabasz Index, G2 Index, G3 Index,
Silhouette Index, Krzanowski-Lai Index, Hartigan Index, Gap
Index, DB Index, Data Normalization, HINoV method, Replication
analysis for cluster validation, Clustering with several
algorithms, distances, normalizations and icq indices, Symbolic
interval distances, Plot functions, Random cluster generation
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