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An Enhanced Incremental Leader Ant Clustering with Constraints
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 42 - Number 20 |
| Year of Publication: 2012 |
| Authors: K.sumangala, D. Vasanthi |
10.5120/5820-8134
|
K.sumangala, D. Vasanthi . An Enhanced Incremental Leader Ant Clustering with Constraints. International Journal of Computer Applications. 42, 20 ( March 2012), 42-48. DOI=10.5120/5820-8134
Abstract
Clustering task aims at the unsupervised classification of patterns in different groups. Ant-based clustering is a biologically inspired data clustering technique. In the research, three new variants of the Leader Ant Clustering with Constraint algorithm (ILAMC, ILAME and ILACE) are proposed that implements incremental Leader Ant-based clustering and the following constraints: the must-link (ML), cannot-link (CL) constraints and ? –constraints. The main aim of the research is to improve the clustering accuracy, reduce the execution time and providing better convergence, to validate the accuracy using the F-measure and Entropy.
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