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New Genetic Gravitational Search approach for Data Clustering using K-Harmonic Means
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 99 - Number 13 |
| Year of Publication: 2014 |
| Authors: Anuradha D. Thakare, C. A. Dhote, Rohini S Hanchate |
10.5120/17431-7773
|
Anuradha D. Thakare, C. A. Dhote, Rohini S Hanchate . New Genetic Gravitational Search approach for Data Clustering using K-Harmonic Means. International Journal of Computer Applications. 99, 13 ( August 2014), 5-8. DOI=10.5120/17431-7773
Abstract
In this article the new hybrid data clustering approach, Gravitational Genetic KHM, based on Genetic algorithm (GA), Gravitational Search Algorithm (GSA) and K-harmonic Means (KHM) is proposed. Data Clustering is used to group similar set of objects into set of disjoint classes, object in class are highly similar than the objects in other classes. Among various clustering methods, KHM is one of the most popular clustering techniques. KHM is applied widely and works well in many fields, but this method runs in local optima. In the proposed approach the merits of Genetic Algorithm are used to escape the KHM clustering from local optima and to overcome the slow convergence speed of GSA. This paper is presented as work-in-progress in which the work model is proposed and some intermediate results are discussed which in turn will be compared with existing hybrid algorithms. The results are tested on several datasets.
References
- K-Harmonic Means - A Data Clustering Algorithm Bin Zhang, Meichun Hsu, Umeshwar Dayal Software Technology Laboratory HP Laboratories Palo Alto HPL-1999-124 October, 1999.
- International journal of emerging technology and advanced engineering "comparison of various clustering algorithm of weka tools" may 2012.
- Cheng Huang Hung, Hua-Min Chiou ,Wei-Ning Yang "Candidate groups search for K-harmonic means data clustering", 2013.
- Abdulrahman Alguwaizani , Pierre Hansen , Nenad Mladenovic, Eric Ngai "Variable neighborhood search for harmonic means clustering", 2011.
- Minghao Yin, Yanmei Hu, Fengqin Yang, Xiangtao Li, Wenxiang Gu A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering College of Computer Science, Northeast Normal University, Changchun 130117, China ,2011.
- An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization Fengqin Yang , Tieli Sun, Changhai Zhang 2009.
- K-Harmonic Means A Data Clustering Algorithm Bin Zhang, Meichun Hsu, Umeshwar Dayal Software Technology Laboratory HP Laboratories Palo Alto HPL-1999-124 October, 1999.
- On The Performance of the Gravitational Search Algorithm, Taisir Eldos Department of Computer engineering College of computer engineering and Sciences ,Rose Al Qasim IJACSA Vol. 4, No. 8, 2013.
- Data sets from http://archive. ics. uci. edu/ml/datasets.
- Fengqin Yang a,b,*, Tieli Sun a, Changhai Zhang "An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization", 2009.
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