Biclustering via Simplivariate Component Analysis
Generate an additive approximation of a data matrix
Additive Pattern Fitter
Cross-Validation of Simplivariate Component Patterns
Default Pattern Fitters for SIMPLICA
Default pattern generators for SIMPLICA
Fitness function with automatic pattern selection per Simplivariate Co...
Compute best pattern-based fitness for a single Simplivariate Componen...
Integer mutation operator for genetic algorithms
One-point crossover operator for integer-encoded genetic algorithms
GA Integer Population Factory
Global Variables Declaration
Generate an multiplicative approximation of a data matrix
Multiplicative Pattern Fitter
Plot non-contiguous simplivariate components by pattern type, with opt...
Print method for summaryComponents
Simplivariate Component Analysis monitoring function factory for GA pr...
SIMPLICA: Simultaneous Identification of Simplivariate Components
Test Simplivariate Components with Cross-Validation Pattern Selection
Summarize GA-found Simplivariate Components
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) <doi:10.1371/journal.pone.0003259> and is related to biclustering frameworks as reviewed by Madeira and Oliveira (2004) <doi:10.1109/TCBB.2004.2>.