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.

Getting started

Package details

AuthorAndreas Maunz <[email protected]>
MaintainerAndreas Maunz <[email protected]>
LicenseBSD_3_clause + file LICENSE
Package repositoryView on CRAN
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mvc documentation built on May 30, 2017, 2:54 a.m.