moc.gapbk: Multi-Objective Clustering Algorithm Guided by a-Priori
Biological Knowledge
Implements the Multi-Objective Clustering Algorithm Guided
by a-Priori Biological Knowledge ('MOC-GaPBK') proposed by
Parraga-Alava and others (2018) <doi:10.1186/s13040-018-0178-4>.
The algorithm performs gene clustering using 'NSGA-II' as the
underlying multi-objective evolutionary engine, together with
Path-Relinking and Pareto Local Search as intensification and
diversification strategies. Two versions of the Xie-Beni validity
index are used as objective functions, one per distance matrix,
so that prior biological knowledge can be incorporated through
the second matrix.
| Version: |
0.2.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats, utils, nsga2R, foreach, parallel, doParallel |
| Suggests: |
amap, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-05-14 |
| DOI: |
10.32614/CRAN.package.moc.gapbk |
| Author: |
Jorge Parraga-Alava
 [aut, cre,
cph],
Marcio Dorn [aut],
Mario Inostroza-Ponta [aut] |
| Maintainer: |
Jorge Parraga-Alava <jorge.parraga at utm.edu.ec> |
| BugReports: |
https://github.com/jorgeklz/package-moc.gapbk/issues |
| License: |
GPL-2 |
| URL: |
https://github.com/jorgeklz/package-moc.gapbk |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
moc.gapbk results |
Documentation:
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