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AntPart: an algorithm for the unsupervised classification problem using ants
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AI
DOI：10.1016/j.amc.2005.11.130.png)
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摘要
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Unsupervised classification is one of the tasks of data-mining. In this paper, a method named AntPart for the resolution of exclusive unsupervised classification is introduced. It is inspired by the behavior of a particular species of ants called Pachycondyla apicalis. The performances of this method are compared with those of three other ones, also inspired by the social behavior of ants: AntClass, AntTree and AntClust. (c) 2006 Elsevier Inc. All rights reserved.
Keyword:
data-mining
optimization
unsupervised classification
ant colonies
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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