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|Type:||Artigo de evento|
|Title:||Bicaco: An Ant Colony Inspired Biclustering Algorithm|
|Author:||De Franca F.O.|
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 , 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 , in this work we propose an antinspired algorithm for biclustering, which was named bicACO. © 2008 Springer-Verlag Berlin Heidelberg.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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