Learning collaboration links in a collaborative fuzzy clustering environment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4827 LNAI, Issue , 2007, Pages 483-495

  Falcon, Rafael ^a   Jeon, Gwanggil ^b   Bello, Rafael ^a   Jeong, Jechang ^b  

^a CENTRAL UNIVERSITY OF LAS VILLAS   (Cuba)

^b Hanyang University   (South Korea)

Author keywords

Collaboration links; Collaborative fuzzy clustering; Evolutionary computation; Information granules; Particle swarm optimization; Rough set theory

Indexed keywords

EVOLUTIONARY ALGORITHMS; ROUGH SET THEORY;

COLLABORATION LINKS; COLLABORATIVE FUZZY CLUSTERING; INFORMATION GRANULES; PARTICLE SWARM OPTIMIZATION;

FUZZY CLUSTERING;

EID: 38149135658     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76631-5_46     Document Type: Conference Paper

References (15)

1. Jain, A.K., Murty, M.N., Flynn, P.J.: Data Clustering: A Review. ACM Computing Surveys 31(3), 264-323 (1999)
2. Sato-Ilic, M., Jain, L.: Introduction to Fuzzy Clustering. In: Sato-Ilic, M., Jain, L. (eds.) Innovations in Fuzzy Clustering. Studies in Fuzziness and Soft Computing, vol. 205, pp. 1-8. Springer, Heidelberg (2006)
3. Sato-Ilic, M., Jain, L.: Kernel based Fuzzy Clustering. In: Sato-Ilic, M., Jain, L. (eds.) Innovations in Fuzzy Clustering. Studies in Fuzziness and Soft Computing, vol. 205, pp. 89-104. Springer, Heidelberg (2006)
4. Sato-Ilic, M., Jain, L.: Self Organized Fuzzy Clustering. In: Sato-Ilic, M., Jain, L. (eds.) Innovations in Fuzzy Clustering. Studies in Fuzziness and Soft Computing, vol. 205, pp. 125-150. Springer, Heidelberg (2006)
5. Pedrycz, W.: Collaborative Fuzzy Clustering. Pattern Recognition Letters 23(14), 1675-1686 (2002)
6. Mitra, S., Banka, H., Pedrycz, W.: Rough-Fuzzy Collaborative Clustering. Man and Cybernetics 36(4), 795-805 (2006)
7. Bezdek, I.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. In: Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press (1981)
8. Pedrycz, W.: Knowledge-Based Clustering: From Data to Information Granules. John Wiley and sons, Chichester (2005)
9. Pedrycz, W., Vukovich, G.: Clustering in the Framework of Collaborative Agents. IEEE International Conference on Fuzzy Systems 1, 134-138 (2002)
10. Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11(1), 341-356 (1982)
11. Kennedy, I., Eberhart, R.: Particle Swarm Optimization. IEEE International Conference on Neural Networks 4, 1942-1948 (1995)
12. Kennedy, I., Eberhart, R.: Swarm Intelligence. Morgan Kaufmann, San Francisco (2001)
13. Santana-Quintero, L., Ramírez-Santiago, N., Coello, C., Molina, I., Garcia, A.: A New Proposal for Multiobjective Optimization using Particle Swarm Optimization and Rough Set Theory. In: Runarsson, T.P., Beyer, H.-G., Burke, E., Merelo-Guervós, J.J., Whitley, L.D., Yao, X. (eds.) Parallel Problem Solving from Nature - PPSN IX. LNCS, vol. 4193, pp. 483-492. Springer, Heidelberg (2006)
14. Omran, M., Engelbrecht, A., Salman, A.: Dynamic Clustering using Particle Swarm Optimization with Application in Unsupervised Image Classification. Computing and Technology 9, 199-204 (2005)
15. Wang, X., Yang, I., Teng, X., Xia, W., Jensen, R.: Feature Selection Based on Rough Sets and Particle Swarm Optimization. Pattern Recognition Letters 28(4), 459-471 (2006)