Krill Herd Clustering Algorithm using DBSCAN Technique
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 3
Abstract
The hybrid approach is proposed to show that the clusters also show the swarm behavior. Krill herd algorithm is used to show the simulation of the herding behavior of the krill individuals. Density based approach is used for discovering the clusters and to show the region with sufficiently high density into clusters of krill individuals that of the arbitrary shape in environment. The minimum distance of each individual krill from food and from high density of herds are considered as the objective function of the krill movement. A density based cluster is a set of density connected objects that is maximal with respect to density-reach ability and noisy objects. The movement of the krill individuals is considered by the foraging movement and random diffusion.
Authors and Affiliations
Varinder Singh , Mrs. Monica Sood
Keywords
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