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 |
| Reference manual: | mvc.pdf |
| 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: mvc_1.3.tgz, r-oldrel: mvc_1.3.tgz |
| Old sources: | mvc archive |
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