gaintegerPopulationFactory

Creates a factory function for generating initial populations for genetic algorithms
with integer chromosomes, where a specified fraction of variables are set to zero.

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>.

Jos Hageman

SIMPLICA

Biclustering via Simplivariate Component Analysis

gaintegerPopulationFactory function

<dl><dt>zeroFraction</dt>
<dd>Numeric value between 0 and 1 specifying the fraction of variables
to set to zero in each individual</dd>
<dt>verbose</dt>
<dd>Logical indicating whether to print information about zero fraction</dd></dl>

Arguments

GA Integer Population Factory — gaintegerPopulationFactory

<dl>

<dt>zeroFraction</dt>
<dd>Numeric value between 0 and 1 specifying the fraction of variables
to set to zero in each individual</dd>


<dt>verbose</dt>
<dd>Logical indicating whether to print information about zero fraction</dd>

</dl>

gaintegerPopulationFactory: GA Integer Population Factory

Description

Usage

Value

Arguments