Genetic Algorithm Based Two-Mode Clustering
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Documentation for package ‘twomodeclusteringGA’ version 1.0.0
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 |