bicACO: An Ant Colony Inspired Biclustering Algorithm

Authors:
Fabrício O. França;Guilherme P. Coelho;Fernando J. Zuben
Affiliations:
Laboratory of Bioinformatics and Bioinspired Computing (LBiC), University of Campinas (Unicamp), Campinas, SP, Brazil;Laboratory of Bioinformatics and Bioinspired Computing (LBiC), University of Campinas (Unicamp), Campinas, SP, Brazil;Laboratory of Bioinformatics and Bioinspired Computing (LBiC), University of Campinas (Unicamp), Campinas, SP, Brazil
Venue:
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Year:
2008

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Abstract

A recent proposal developed to avoid some of the drawbacks presented by standard clustering algorithms is the so-called biclusteringtechnique [1], which performs clustering of rows and columns of the data matrix simultaneously, allowing the extraction of additional information from the dataset. Since the biclustering problem is combinatorial, and ant-based systems present several advantages when dealing with this kind of problems [2], in this work we propose an antinspired algorithm for biclustering, which was named bicACO.