supermarkets

<p>This data set relates to 220 consumers rating 10 Dutch supermarket chains according 
to 8 variables. A rating scale from 1 to 10 was used.</p>

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

supermarkets function

<p>A three-way array with supermarkets in the first dimension, variables in the second and 
consumers in the third dimension.</p>

supermarkets: Dutch Supermarkets Data Set

Description

Usage

Arguments

Format

Examples