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

Downloads:

Reference manual: mvc.pdf
Package source: mvc_1.3.tar.gz
OS X binary: mvc_1.3.tgz
Windows binary: mvc_1.3.zip
Old sources: mvc archive