Heart: A novel optimization algorithm for cluster analysis

Progress in Artificial Intelligence

Volumn 2, Issue 2-3, 2014, Pages 167-173

  Hatamlou, Abdolreza ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Data clustering; Heart optimization algorithm; Natural computing

Indexed keywords

BENCHMARKING; CLUSTER ANALYSIS; HEART; OPTIMIZATION;

BENCHMARK DATASETS; CIRCULATORY SYSTEMS; COMPUTATIONAL SYSTEM; DATA CLUSTERING; NATURAL COMPUTING; OBJECTIVE FUNCTIONS; OPTIMIZATION ALGORITHMS; OPTIMIZATION METHOD;

CLUSTERING ALGORITHMS;

EID: 84926471634     PISSN: 21926352     EISSN: 21926360     Source Type: Journal    
DOI: 10.1007/s13748-014-0046-5     Document Type: Article

References (28)

1. de Castro, L.N.: Fundamentals of natural computing: basic concepts, algorithms, and applications. CRC Press, Boca Raton (2006)
2. de Castro, L.N., Von Zuben, F.J.: Recent developments in biologically inspired computing. Idea Group Publishing, Hershey, USA (2004)
3. Cooke, D.E., Computing with biological metaphors. In: Paton, R. (ed), pp. 97–98. Chapman & Hall, London, ISBN: 0142 544 709 (1994)
4. Cooke, D.E.: Engineering Applications of Artificial Intelligence. 9(1): 97–98 (1996)
5. de Castro, L.N.: Fundamentals of natural computing: an overview. Phys. Life Rev. 4(1), 1–36 (2007)
6. Jain, A.K.: Data clustering: 50 years beyond k-means. Pattern Recognit. Lett. 31(8), 651–666 (2010)
7. Han, J., Kamber, M.: Data mining: concepts and techniques. Academic Press, London (2006)
8. Hatamlou, A.: In search of optimal centroids on data clustering using a binary search algorithm. Pattern Recognit. Lett. 33(13), 1756–1760 (2012)
9. Hatamlou, A., Abdullah, S., Nezamabadi-pour, H.: A combined approach for clustering based on k-means and gravitational search algorithms. Swarm Evol. Comput. 6, 47–52 (2012)
10. Hatamlou, A.: Black hole: a new heuristic optimization approach for data clustering. Inf. Sci. 222, 175–184 (2013)
11. Niknam, T., et al.: An efficient hybrid algorithm based on modified imperialist competitive algorithm and k-means for data clustering. Eng. Appl. Artif. Intell. 24(2), 306–317 (2011)
12. Ching-Yi, C., Fun, Y.: Particle swarm optimization algorithm and its application to clustering analysis. In: Proceedings of the 2004 IEEE International Conference on Networking, sensing and control, pp. 789–794 (2004)
13. Hatamlou, A., Abdullah, S., Hatamlou, M.: Data clustering using big bang-big crunch algorithm. In: Pichappan, P., Ahmadi, H., Ariwa, E. (eds.) Communications in Computer and Information Science, vol. 241, pp. 383–388. Springer, Heidelberg (2011)
14. Hatamlou, A., Abdullah, S., Nezamabadi-pour, H.: Application of gravitational search algorithm on data clustering, rough sets and knowledge technology, pp. 337-346. Springer, Berlin (2011)
15. Hatamlou, A., Abdullah, S., Othman, Z.: Gravitational search algorithm with heuristic search for clustering problems. In: 2011 3rd Conference on Data Mining and Optimization (DMO) (2011)
16. Senthilnath, J., Omkar, S.N., Mani, V.: Clustering using firefly algorithm: performance study. Swarm Evol. Comput. 1(3), 164–171 (2011)
17. Hatamlou, A., Hatamlou, M.: PSOHS: an efficient two-stage approach for data clustering. Memet. Comput. 5(2), 155–161 (2013)
18. Hatamlou, A., Hatamlou, M.: Hybridization of the gravitational search algorithm and big bang-big crunch algorithm for data clustering. Fundam. Inform. 126(4), 319–333 (2013)
19. Anaya-Sánchez, H., Pons-Porrata, A., Berlanga-Llavori, R.: Adocument clustering algorithm for discovering and describing topics. Pattern Recognit. Lett. 31(6), 502–510 (2010)
20. Gil-García, R., Pons-Porrata, A.: Dynamic hierarchical algorithms for document clustering. Pattern Recognit. Lett. 31(6), 469–477 (2010)
21. Mahdavi, M., et al.: Novel meta-heuristic algorithms for clustering web documents. Appl. Math. Comput. 201(1–2), 441–451 (2008)
22. Friedman, M., et al.: Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology. Inf. Sci. 177(2), 467–475 (2007)
23. Moshtaghi, M.: Clustering ellipses for anomaly detection. Pattern Recognit. 44(1), 55–69 (2011)
24. Liao, L., Lin, T., Li, B.: MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach. Pattern Recognit. Lett. 29(10), 1580–1588 (2008)
25. Han, J., Micheline, K.: Datamining: concepts and techniques. Academic Press, London (2001)
26. Gabriel Khan, M.: Anatomy of theHeart and Circulation. In: Encyclopedia of Heart Diseases, chap 4, pp. 13–21. Academic Press, Burlington (2006) ISBN 9780124060616
27. Mahadevan, V.: Anatomy of the heart. Surgery (Oxford) 22(6), 121–123 (2004)
28. Whitaker, R.H.: Anatomy of the heart. Medicine 30(4), 45–47 (2002)