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lsbclust
View on CRAN: Click
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Download and install lsbclust package within the R console
Install from CRAN:
install.packages("lsbclust")
Install from Github:
library("remotes")
install_github("cran/lsbclust")
Install by package version:
library("remotes")
install_version("lsbclust", "1.1")
Attach the package and use:
library("lsbclust")
Maintained by
Pieter Schoonees
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-02-11
Latest Update: 2019-04-15
Description:
Functions for performing least-squares bilinear clustering of
three-way data. The method uses the bilinear decomposition (or bi-additive
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 sub-problems
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.
How to cite:
Pieter Schoonees (2015). lsbclust: Least-Squares Bilinear Clustering for Three-Way Data. R package version 1.1, https://cran.r-project.org/web/packages/lsbclust. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that lsbclust depends,
imports, suggests or enhances
Complete documentation for lsbclust
Functions, R codes and Examples using
the lsbclust R package
Some associated functions: ClustMeans . KMeansW . LossMat . T3Clusf . akmeans . bicomp . carray . cfsim.T3Clusf . cfsim.akmeans . cfsim.lsbclust . cfsim . cmat . dcars . fitted.T3Clusf . fitted.akmeans . fitted.lsbclust . genproc . indarr . int.lsbclust . lov . lsbclust-package . lsbclust . lsbclusttoclue . meanbiplot . meanheatmap . orc.lsbclust . plot.T3Clusf . plot.bicomp . plot.col.kmeans . plot.int.lsbclust . plot.lsbclust . plot.ovl.kmeans . plot.row.kmeans . plot.step.lsbclust . print.lsbclust . rlsbclust . rorth . sim_lsbclust . simsv . step.lsbclust . summary.int.lsbclust . summary.lsbclust . supermarkets .
Some associated R codes: RcppExports.R . T3Clusf.R . akmeans.R . bicomp.R . carray.R . cfsim.R . cfsim.T3Clusf.R . cfsim.akmeans.R . cfsim.lsbclust.R . cluedefinitions.R . dcars.R . fitted.T3Clusf.R . fitted.akmeans.R . fitted.lsbclust.R . genproc.R . indarr.R . int.lsbclust.R . lov.R . lsbclust-package.R . lsbclust.R . meanbiplot.R . meanheatmap.R . orc.lsbclust.R . plot.T3Clusf.R . plot.bicomp.R . plot.col.kmeans.R . plot.int.lsbclust.R . plot.lsbclust.R . plot.ovl.kmeans.R . plot.row.kmeans.R . plot.step.lsbclust.R . print.lsbclust.R . rlsbclust.R . rorth.R . sim_lsbclust.R . simsv.R . step.lsbclust.R . summary.int.lsbclust.R . summary.lsbclust.R . supermarkets.R . Full lsbclust package functions and examples
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