R: Genetic Algorithm Based Two-Mode Clustering

# Genetic Algorithm Based Two-Mode Clustering

## Documentation for package ‘twomodeclusteringGA’ version 1.0.0

- DESCRIPTION file

## Help Pages

as.data.frame.twomodeClustering | Convert a twomodeClustering object to a data.frame
gaintegerMutation | Integer mutation for genetic algorithm
gaintegerOnePointCrossover | One-point crossover for genetic algorithm with integer encoding
gaintegerPopulation | Integer population initialization for genetic algorithm
gaintegerTwoPointCrossover | Two-point crossover for genetic algorithm with integer encoding
monitorFactory | Two mode clustering monitoring function factory for GA progress
plotTwomodeClustering | Plot two-mode clustering results (validation-aware, compact labels)
print.summary.twomodeClustering | Print method for summary.twomodeClustering objects
print.twomodeClustering | Print method for twomodeClustering objects
summary.twomodeClustering | Summary method for twomodeClustering objects
twomodeClusteringGA | Two-mode clustering using genetic algorithm (with optional validation)
twomodeFitnessFactory | Two-mode clustering genetic algorithm evaluation function (fast, robust)
twomodeToy | Toy matrix with one multiplicative and one additive bicluster
validateTwomodePartition | Validate a two-mode clustering partition by global and per-block significance