# Least-Squares Bilinear Clustering for Three-Way Data

## Documentation for package ‘lsbclust’ version 1.1

- DESCRIPTION file.

## Help Pages

lsbclust-package | Least Squares Latent Class Matrix Factorization
akmeans | K-Means Over One Way of An Three-Way Array
AssignCluster | C++ Function for Weighted K-Means
bicomp | Bilinear Decomposition of a Matrix
carray | Double-Centre a Three-way Array
cfsim | Compare Simulation Results
cfsim.akmeans | Compare LSBCLUST Simulation Results
cfsim.lsbclust | Compare LSBCLUST Simulation Results
cfsim.T3Clusf | Compare LSBCLUST Simulation Results
ClustMeans | C++ Function for Cluster Means
cl_class_ids.akmeans | S3 export
cl_class_ids.int.lsbclust | S3 export
cl_class_ids.lsbclust_sim_part | S3 export
cl_class_ids.T3Clusf | S3 export
cmat | Centring Matrix
col.kmeans | K-means on the Overall Mean, Row Margins or Column Margins
ComputeMeans | C++ Function for Weighted K-Means
dcars | Dutch Cars Data
fitted.akmeans | Extract Fitted Values for akmeans
fitted.lsbclust | Extract Fitted Values for LSBCLUST
fitted.T3Clusf | Extract Fitted Values for T3Clusf
genproc | Generalized Procrustes Rotation
indarr | Create Array of Indicator Matrices
int.lsbclust | Interaction Clustering in Least Squares Bilinear Clustering
is.cl_hard_partition.akmeans | S3 export
is.cl_hard_partition.int.lsbclust | S3 export
is.cl_hard_partition.lsbclust_sim_part | S3 export
is.cl_hard_partition.T3Clusf | S3 export
is.cl_partition.akmeans | S3 export
is.cl_partition.int.lsbclust | S3 export
is.cl_partition.lsbclust_sim_part | S3 export
is.cl_partition.T3Clusf | S3 export
KMeansW | C++ Function for Weighted K-Means
LossMat | C++ Function for Interaction Loss Function
lov | List-of-values Data Set
lsbclust | Least-squares Bilinear Clustering of Three-way Data
meanbiplot | Biplots of
meanheatmap | Plot Heatmap of A Matrix
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'
plot.T3Clusf | Plot Method for Class 'T3Clusf'
print.lsbclust | Print method for object of class 'lsbclust'
rlsbclust | Simulate from LSBCLUST Model
rorth | Generate A Random Orthonormal Matrix
row.kmeans | K-means on the Overall Mean, Row Margins or Column Margins
simsv | Randomly Generate Positive Singular Values
sim_lsbclust | Simulate and Analyze LSBCLUST
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
T3Clusf | T3Clusf: Tucker3 Fuzzy Cluster Analysis