fastcluster (1.1.25)

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Fast Hierarchical Clustering Routines for R and 'Python'.

This is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': .

Maintainer: Daniel Mllner
Author(s): Daniel Mllner [aut, cph, cre], Google Inc. [cph]

License: FreeBSD | GPL-2 | file LICENSE

Uses: Does not use any package
Enhances: flashClust
Reverse depends: PropClust, SpatialVx, WGCNA
Reverse suggests: hyperSpec, linkcomm, MRPC, propr, Rclusterpp, TDAmapper

Released over 1 year ago.

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