Given a hierarchical cluster tree Z generated by the linkage function, cluster defines clusters, using a threshold value C to identify new clusters (’Cutoff’) or according to a maximum number of desired clusters N (’MaxClust’).

criterion is used to choose the criterion for defining clusters, which can be either "inconsistent" (default) or "distance". When using "inconsistent", cluster compares the threshold value C to the inconsistency coefficient of each link; when using "distance", cluster compares the threshold value C to the height of each link. D is the depth used to evaluate the inconsistency coefficient, its default value is 2.

cluster uses "distance" as a criterion for defining new clusters when it is used the ’MaxClust’ method.

See also: clusterdata, dendrogram, inconsistent, kmeans, linkage, pdist

Source Code: cluster