Biclustering via Simplivariate Component Analysis

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) .