Hybrid hierarchical clustering software for R

Authors: Hugh Chipman and Rob Tibshirani
Maintainer: Hugh Chipman

This software, written in the R language, identifies "mutual clusters" and uses them in a hybrid hierarchical clustering. A mutual cluster is a set of points whose largest within-group distance is smaller than the distance to the nearest point outside the set. This idea is used in a hybrid clustering algorithm that performs top-down clustering subject to the constraint that a mutual cluster can only be subdivided after it is isolated from all other points. Such a clustering algorithm can be useful in situations in which interest focuses on both coarse and fine partitions of the data. For example, in clustering microarray samples, one might be interested both in (1) identifying small groups of samples that are very similar to each other and (2) partitioning all samples into five groups that can be broadly interpreted.

This sofware is based on the paper

The package can be installed directly from CRAN.


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