Package: lsbclust
Type: Package
Title: Least-Squares Bilinear Clustering for Three-Way Data
Version: 1.0.2
Date: 2015-03-12
Author: Pieter Schoonees [aut, cre], Patrick Groenen [ctb]
Maintainer: Pieter Schoonees <schoonees@gmail.com>
Authors@R: c(person(given = "Pieter", family = "Schoonees", role = c("aut",
"cre"), email = "schoonees@gmail.com"), person(given = "Patrick",
family = "Groenen", role = "ctb", email = "groenen@ese.eur.nl"))
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.1.2), stats, parallel, ggplot2
Imports: plyr, clue, grid, gridExtra, reshape2, Rcpp
LinkingTo: Rcpp
LazyData: yes
LazyLoad: yes
ByteCompile: yes
BuildResaveData: yes
Suggests: testthat
NeedsCompilation: yes
Packaged: 2015-03-11 22:38:42 UTC; pieter
Repository: CRAN
Date/Publication: 2015-03-12 01:11:46

Package: lsbclust
Type: Package
Title: Least-Squares Bilinear Clustering for Three-Way Data
Version: 1.0.3
Date: 2015-03-12
Author: Pieter Schoonees [aut, cre], Patrick Groenen [ctb]
Maintainer: Pieter Schoonees <schoonees@gmail.com>
Authors@R: c(person(given = "Pieter", family = "Schoonees", role = c("aut",
"cre"), email = "schoonees@gmail.com"), person(given = "Patrick",
family = "Groenen", role = "ctb", email = "groenen@ese.eur.nl"))
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.2.1), stats, parallel, ggplot2
Imports: plyr, clue, grid, gridExtra, reshape2, Rcpp, graphics, methods
LinkingTo: Rcpp
LazyData: yes
LazyLoad: yes
ByteCompile: yes
BuildResaveData: best
Suggests: testthat
NeedsCompilation: yes
Packaged: 2015-08-14 21:16:46 UTC; pieter
Repository: CRAN
Date/Publication: 2015-08-15 00:59:41