Current Proceedings on Technology

Current Proceedings on Technology

A Robust Data Clustering Approach Using Gravitational Search Algorithm and a Heuristic Search Approach

Yazarlar: Abdolreza Hatamlou

Cilt - , Sayı 8 , 2015 , Sayfalar -

Konular:-

Anahtar Kelimeler:Cluster analysis,Gravitational search algorithm,Heuristic search algorithm.

Özet: In this paper, we present an efficient algorithm for data clustering, which is based on the gravitational search algorithm and a heuristic search approach. In the proposed algorithm, called GSAHS, the gravitational search algorithm is used to find an initial solution for the clustering problem, and then at the next stage, a heuristic search algorithm is applied to improve the quality of the initial solution by thoroughly exploring the both sides of the initial solution. Four benchmark datasets are used to evaluate the performance of the GSAHS in comparison with K-means, genetic algorithm (GA), tabu search (TS), simulated annealing (SA), ant colony optimization (ACO), honey bee mating optimization (HBMO), particle swarm optimization (PSO) and gravitational search algorithm (GSA). The experimental results confirm that the GSAHS can find high quality clusters in all the test datasets.

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@article{2015, title={A Robust Data Clustering Approach Using Gravitational Search Algorithm and a Heuristic Search Approach}, number={0}, publisher={Current Proceedings on Technology }, author={Abdolreza Hatamlou}, year={2015} }
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Abdolreza Hatamlou. (2015). A Robust Data Clustering Approach Using Gravitational Search Algorithm and a Heuristic Search Approach. Current Proceedings on Technology .
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Abdolreza Hatamlou. A Robust Data Clustering Approach Using Gravitational Search Algorithm and a Heuristic Search Approach. no. 0, Current Proceedings on Technology , 2015.
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