Least-Squares Bilinear Clustering for Three-Way Data

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Documentation for package ‘lsbclust’ version 1.0.2

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lsbclust-package Least Squares Latent Class Matrix Factorization
bicomp Bilinear Decomposition of a Matrix
ClustMeans C++ Function for Cluster Means
cl_class_ids.int.lsbclust S3 Methods for Integration into 'clue' Framework
cmat Centring Matrix
col.kmeans K-means on the Overall Mean, Row Margins or Column Margins
dcars Dutch Cars Data
genproc Generalized Procrustes Rotation
indarr Create Array of Indicator Matrices
int.lsbclust Interaction Clustering in Least Squares Bilinear Clustering
is.cl_hard_partition.int.lsbclust S3 Methods for Integration into 'clue' Framework
is.cl_partition.int.lsbclust S3 Methods for Integration into 'clue' Framework
LossMat C++ Function for Interaction Loss Function
lov List-of-values Data Set
lsbclust Least-squares Bilinear Clustering of Three-way Data
orc.lsbclust K-means on the Overall Mean, Row Margins or Column Margins
ovl.kmeans K-means on the Overall Mean, Row Margins or Column Margins
plot.bicomp Plot a 'bicomp' Object
plot.col.kmeans Plot method for class 'col.kmeans'
plot.int.lsbclust Plot Method for Class 'int.lsbclust'
plot.lsbclust Plot method for class 'lsbclust'
plot.ovl.kmeans Plot method for class 'ovl.kmeans'
plot.row.kmeans Plot method for class 'row.kmeans'
plot.step.lsbclust Plot method for class 'step.lsbclust'
print.lsbclust Print method for object of class 'lsbclust'
row.kmeans K-means on the Overall Mean, Row Margins or Column Margins
sim.lsbclust Simulate from an LSBLCUST model
step.lsbclust Model Search for lsbclust
summary.int.lsbclust Summary Method for Class "int.lsbclust"
summary.lsbclust Summary Method for Class "lsbclust"
supermarkets Dutch Supermarkets Data Set