AntPart: an algorithm for the unsupervised classification problem using ants

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摘要

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.

论文关键词:Data-mining,Optimization,Unsupervised classification,Ant colonies

论文评审过程:Available online 23 January 2006.

论文官网地址:https://doi.org/10.1016/j.amc.2005.11.130