A Parallel Approach to Clustering with Ant Colony Optimization

Recent innovations have enabled ever increasing amounts of data to be collected and stored, leading to the problem of extracting knowledge from it. Clustering techniques help organizing and understanding such data, and parallelization of such may reduce the cost of achieving this goal or improve on...

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Bibliographic Details
Published inAdvances in Artificial Intelligence - SBIA 2012 pp. 102 - 111
Main Author Ramos, Guilherme N.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
ant colony optimization
clustering
hyperbox
parallel computing
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Summary:Recent innovations have enabled ever increasing amounts of data to be collected and stored, leading to the problem of extracting knowledge from it. Clustering techniques help organizing and understanding such data, and parallelization of such may reduce the cost of achieving this goal or improve on the result. This works presents the parallel implementation of the HACO clustering method, analyzing process of parallelization and its results with different topologies and communication strategies.
ISBN:3642344585
9783642344589
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-34459-6_11