International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 147 - Issue 14 |
Published: Aug 2016 |
Authors: Parvin Ghaffarzadeh, Mohammad H. Nadimi, Akbar Nabiollahi |
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Parvin Ghaffarzadeh, Mohammad H. Nadimi, Akbar Nabiollahi . KMGEM: Data Clustering by Combination of K-Means and Grenade Explosion Algorithm. International Journal of Computer Applications. 147, 14 (Aug 2016), 21-29. DOI=10.5120/ijca2016911333
@article{ 10.5120/ijca2016911333, author = { Parvin Ghaffarzadeh,Mohammad H. Nadimi,Akbar Nabiollahi }, title = { KMGEM: Data Clustering by Combination of K-Means and Grenade Explosion Algorithm }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 147 }, number = { 14 }, pages = { 21-29 }, doi = { 10.5120/ijca2016911333 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Parvin Ghaffarzadeh %A Mohammad H. Nadimi %A Akbar Nabiollahi %T KMGEM: Data Clustering by Combination of K-Means and Grenade Explosion Algorithm%T %J International Journal of Computer Applications %V 147 %N 14 %P 21-29 %R 10.5120/ijca2016911333 %I Foundation of Computer Science (FCS), NY, USA
The main purpose of using clustering techniques is to divide a dataset into a few unsupervised data analysis partitions. One of the recent and apparently one of the easiest one of them is k-means. This technique is based on square error criterion. To solve the combinatorial optimization issues in the context of clustering techniques, k-means algorithm was used recently. In spite of the fact that it has been applied to a few territories, it experiences sensitivity to initial points. There have been a few techniques that were reported beneficial for improving k-means systems. By this paper we are trying to suggest a new algorithm which depends on an optimized clustering method. This algorithm that is called K-Means Modified Grenade Explosion Method (KMGEM) is a K-Means that initialized with Modified Grenade Explosion algorithm. The results showed that our proposed method is superior in comparison with methods like Genetic Algorithm, Genetic K-Means Algorithm, and k-means algorithms.