An improved clustering algorithm based on K-means and harmony search optimization

2011 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2011

Volumn , Issue , 2011, Pages 447-450

  Chandran, Lekshmy P ^a   Nazeer, K A Abdul ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY CALICUT   (India)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING TECHNIQUES; GLOBAL OPTIMAL SOLUTIONS; HARMONY SEARCH; HYBRID ALGORITHMS; K-MEANS; K-MEANS ALGORITHM; LOCAL OPTIMAL SOLUTION; METAHEURISTIC; SIMILARITY MEASURE; SOLUTION SPACE;

COMPUTATIONAL COMPLEXITY; DATA MINING; OPTIMAL SYSTEMS; OPTIMIZATION; SEARCH ENGINES;

CLUSTERING ALGORITHMS;

EID: 81355132772     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RAICS.2011.6069352     Document Type: Conference Paper

References (10)

1. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml/datasets. html/. [Online; accessed 28-February-2011].
2. R. Elmasri and S. B. Navathe. Fundamentals of Database Systems. 4th Edition, 2005.
3. A. Fahim, A. Salem, F. Torkey, and M. Ramadan. An efficient enhanced k-means clustering algorithm. Journal of Zhejiang University-Science A, 7(10):1626-1633, 2006.
4. R. Forsati, M. Meybodi, M. Mahdavi, and A. Neiat. Hybridization of K-means and harmony search methods for web page clustering. In Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT'08. IEEE/WIC/ACM International Conference on, volume 1, pages 329-335. IEEE, 2009.
5. Z. Geem. State-of-the-art in the structure of harmony search algorithm. Recent Advances In Harmony Search Algorithm, pages 1-10, 2010.
6. A. Jain. Data clustering: 50 years beyond K-means. Pattern Recognition Letters, 31(8):651-666, 2010.
7. K.A.A. Nazeer and M.P. Sebastian. Improving the Accuracy and Efficiency of the k-means Clustering Algorithm. In Proceedings of the World Congress on Engineering, volume 1. Citeseer, 2009.
8. M. Mahdavi, M. Fesanghary, and E. Damangir. An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation, 188(2):1567-1579, 2007.
9. J. McQueen. Some methods for classification and analysis of multi-variate observations. In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, volume 1, pages 281-297. California, USA, 1967.
10. V.S. Sarath and K.A.A. Nazeer. Improving Harmony search based k-means clustering algorithm. In MTech Thesis, Dept of CSE, NIT Calicut, 2009.