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Fuzzy Rules for Ant Based Clustering Algorithm
2016
Advances in Fuzzy Systems
This paper provides a new intelligent technique for semisupervised data clustering problem that combines the Ant System (AS) algorithm with the fuzzyc-means (FCM) clustering algorithm. Our proposed approach, called F-ASClass algorithm, is a distributed algorithm inspired by foraging behavior observed in ant colonyT. The ability of ants to find the shortest path forms the basis of our proposed approach. In the first step, several colonies of cooperating entities, called artificial ants, are used
doi:10.1155/2016/8198915
fatcat:z3y4rrrggvbuzha2wfu45vmq7u