| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4636805 | Applied Mathematics and Computation | 2006 | 13 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Lotfi Admane, Karima Benatchba, Mouloud Koudil, Lamri Siad, Said Maziz,