mvc: Multi-View Clustering

An implementation of Multi-View Clustering (Bickel and Scheffer, 2004). Documents are generated by drawing word values from a categorical distribution for each word, given the cluster. This means words are not counted (multinomial, as in the paper), but words take on different values from a finite set of values (categorical). Thus, it implements Mixture of Categoricals EM (as opposed to Mixture of Multinomials developed in the paper), and Spherical k-Means. The latter represents documents as vectors in the categorical space.

Version:	1.3
Depends:	R (≥ 2.14.1), rattle (≥ 2.6.18)
Published:	2014-02-24
Author:	Andreas Maunz
Maintainer:	Andreas Maunz <andreas at maunz.de>
License:	BSD_3_clause + file LICENSE
URL:	http://cs.maunz.de
NeedsCompilation:	no
Materials:	README
CRAN checks:	mvc results

Documentation:

Reference manual:

mvc.pdf

Downloads:

Package source:	mvc_1.3.tar.gz
Windows binaries:	r-devel: mvc_1.3.zip, r-release: mvc_1.3.zip, r-oldrel: mvc_1.3.zip
macOS binaries:	r-release (arm64): mvc_1.3.tgz, r-oldrel (arm64): mvc_1.3.tgz, r-release (x86_64): mvc_1.3.tgz, r-oldrel (x86_64): mvc_1.3.tgz
Old sources:	mvc archive

Linking:

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