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Type: Artigo de evento
Title: Bicaco: An Ant Colony Inspired Biclustering Algorithm
Author: De Franca F.O.
Coelho G.P.
Von Zuben F.J.
Abstract: A recent proposal developed to avoid some of the drawbacks presented by standard clustering algorithms is the so-called biclustering technique [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. © 2008 Springer-Verlag Berlin Heidelberg.
Rights: fechado
Identifier DOI: 10.1007/978-3-540-87527-7_45
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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