International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 42 - Issue 20 |
Published: March 2012 |
Authors: K.Sumangala, D. Vasanthi |
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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
@article{ 10.5120/5820-8134, author = { K.Sumangala,D. Vasanthi }, title = { An Enhanced Incremental Leader Ant Clustering with Constraints }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 42 }, number = { 20 }, pages = { 42-48 }, doi = { 10.5120/5820-8134 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A K.Sumangala %A D. Vasanthi %T An Enhanced Incremental Leader Ant Clustering with Constraints%T %J International Journal of Computer Applications %V 42 %N 20 %P 42-48 %R 10.5120/5820-8134 %I Foundation of Computer Science (FCS), NY, USA
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.