Biclustering via Simplivariate Component Analysis
Description
Identifies constant, additive, multiplicative, and user-defined
simplivariate components in numeric data matrices using a genetic algorithm.
Supports flexible pattern definitions and provides visualization for
general biclustering applications across diverse domains. The method builds
on simplivariate models as introduced in Hageman et al. (2008)
and is related to biclustering
frameworks as reviewed by Madeira and Oliveira (2004) .