simsv

Integer giving the number of clusters for which to sample singular values.

nclust

Integer; the number of singular values required.

ndim

Numeric vector of length <code>ndim</code> giving the minimum values for the 
respective singular values.

mins

Numeric value giving the maximum possible value for the mean of the cluster-
specific singular value distribution, relative to the <code>mins</code>

Generate random singular values for a specified number of clusters
for use in simulations. A mixture distribution is used with truncation to ensure that the
singular values differ between clusters, are ordered, and are nonnegative.

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.

simsv: Randomly Generate Positive Singular Values

Description

Usage

Arguments