Functions for performing least-squares bilinear clustering of three-way data. The method uses the bilinear decomposition (or biadditive model) to model two-way matrix slices while clustering over the third way. Up to four different types of clusters are included, one for each term of the bilinear decomposition. In this way, matrices are clustered simultaneously on (a subset of) their overall means, row margins, column margins and row-column interactions. The orthogonality of the bilinear model results in separability of the joint clustering problem into four separate ones. Three of these subproblems are specific k-means problems, while a special algorithm is implemented for the interactions. Plotting methods are provided, including biplots for the low-rank approximations of the interactions.

Documentation

Manual: lsbclust.pdf
Vignette: None available.

Maintainer: Pieter Schoonees <schoonees at gmail.com>

Author(s): Pieter Schoonees*, Patrick Groenen*

Install package and any missing dependencies by running this line in your R console:

install.packages("lsbclust")

Depends R (>= 3.2.2), stats, parallel, ggplot2
Imports plyr, clue, grid, gridExtra, reshape2, Rcpp, graphics, methods
Suggests testthat
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Package lsbclust
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Version 1.0.4
Published 2016-01-05
License GPL (>= 2)
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NeedsCompilation yes
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Package source lsbclust_1.0.4.tar.gz