Clustering with noising method

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

Volumn 3584 LNAI, Issue , 2005, Pages 209-216

  Liu, Yongguo ^a,b   Liu, Yan ^c   Chen, Kefei ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; COMPUTER SIMULATION; DATA REDUCTION; ELECTRON TRAPS; HEURISTIC METHODS; INTEGRATION; METADATA; OPTIMAL SYSTEMS; PERFORMANCE; PROBLEM SOLVING;

CLUSTERING; METAHEURISTIC TECHNIQUE; NOISING METHOD; NONCONVEX PROGRAM;

INFORMATION RETRIEVAL;

EID: 26944491080     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527503_25     Document Type: Conference Paper

References (11)

1. Jain, A.K., Dubes, R.: Algorithms for clustering data. Prentice-Hall, New Jersey (1988)
2. Selim, S.Z., Ismail, M.A.: K-means-type algorithm: generalized convergence theorem and characterization of local optimality. IEEE Transactions on Pattern Analysis and Machine Intelligence. 6 (1984) 81-87
3. Murthy, C.A., Chowdhury, N.: In search of optimal clusters using genetic algorithms. Pattern Recognition Letters. 17 (1996) 825-832
4. Al-sultan, K.S.: A tabu search approach to the clustering problem. Pattern Recognition. 28 (1995) 1443-1451
5. Bandyopadhyay, S., Maulik, U., Pakhira, M.K.: Clustering using simulated annealing with probabilisitc redistribution. International Journal of Pattern Recognition and Artificial Intelligence. 15(2001) 269-285
6. Charon, I., Hudry, O.: The noising method: a new method for combinatorial optimization. Operations Research Letters. 14(1993) 133-137
7. Charon, I., Hudry, O.: The noising method: a generalization of some metaheuristics. European Journal of Operational Research. 135(2001) 86-101
8. Chelouah, R., Siarry, P.: A hybrid method combining continuous tabu search and Nelder-Mead simplex algorithms for the global optimization of multiminima functions. European Journal of Operational Research. 161 (2005) 636-654
9. Fisher, R.A.: The use of multiple measurements in taxonomic problem. Annals of Eugenics. 7 (1936) 179-188
10. Johnson, R.A., Wichern, D.W.: Applied multivariate statistical analysis. Prentice-Hall, New Jersey (1982)
11. Pal, S.K., Majumder, D.D.: Fuzzy sets and decision making approaches in vowel and speaker recognition. IEEE Transactions on System, Man and Cybernetics. SMC-7 (1977) 625-629