rorth

Integer giving the number of rows required.

nrow

Integer giving the number of columns required.

ncol

The standard deviation passed to <code><a rd-options="" href="/link/rnorm?package=lsbclust&version=1.1" data-mini-rdoc="lsbclust::rnorm">rnorm</a></code>

Uniformly sample an orthornormal matrix from the collection of all possible 
orthonormal matrices of a certain size. The QR decomposition is used on a 
matrix containing Gaussian random numbers. The QR decomposition might not
be the most efficient algorithm under some circumstances.

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.

Pieter Schoonees

lsbclust

Least-Squares Bilinear Clustering for Three-Way Data

Patrick Groenen

rorth function

The standard deviation passed to <code><a rd-options='' href='rnorm'>rnorm</a></code>

rorth: Generate A Random Orthonormal Matrix

Description

Usage

Arguments

References

Examples