Call For Paper Volume:4 Issue:10 Oct'2017 |

Study and Analysis of Cluster Optimization Algorithms: PSO And CI

Publication Date : 31/03/2015

Author(s) :

Mr. Mahesh S. Bhosale , R. V. Mane.

Volume/Issue :
Volume 2
Issue 3
(03 - 2015)

Abstract :

Clustering is one of the most fundamental tasks in data mining. The process of clustering partitions the given data points into a group based on some similarity measures like Euclidean metric. However finding the best clustering result is difficult. There are various cluster optimization techniques presented in literature to improve result of clustering algorithm. The recent trend in cluster optimization uses Swarm Intelligence (SI) such as ant colony optimization, honey bee mating, particle swarm optimization etc. which tries to find better clustering results. The SI is influenced by natural tendency of swarms in environment. Another approach successfully applied for cluster optimization is Cohort Intelligence (CI). The CI also uses natural and society tendency of individuals learning from each other while living in particular group. This paper presents the theoretical analysis between Particle Swarm Optimization (PSO) and Cohort Intelligence (CI).

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Study and Analysis of Cluster Optimization Algorithms: PSO And CI

March 31, 2015