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Volume & Issue no: Volume 4, Issue 1, January - February 2015

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Title:
A Review on Nature Inspired Algorithms for Clustering
Author Name:
Radha A. Pimpale, P.K. Butey
Abstract:
Abstract In this paper we are proposed most suitable Nature inspired algorithms for clustering. Nature inspired algorithms like cuckoo search, firefly algorithms, Bat algorithms and wolf algorithms are metaheuristic, multiobjective, stochastic algorithms overcome the decencies of traditional clustering algorithms, nature inspired algorithms have get global optima. These algorithms are suitable for the random search, using this can find new solution space for the global optimum. These algorithms are iterative in nature. This paper presents a complete review of given nature inspired algorithms suitable for clustering. Parameter like Convergence, speed, accuracy may be considered. These algorithms help us to adapt environment always and mutual cooperation, which give us many new ideas for solving complex problems. Key words:- cuckoo, firefly, bat and wolf algorithms.
Cite this article:
Radha A. Pimpale, P.K. Butey , " A Review on Nature Inspired Algorithms for Clustering" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 4, Issue 1, January - February 2015 , pp. 058-062 , ISSN 2278-6856.
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