An interval weighed fuzzy c-means clustering by genetically guided alternating optimization

Expert Systems with Applications

Volumn 41, Issue 13, 2014, Pages 5960-5971

  Zhang, Liyong ^a   Pedrycz, Witold ^b   Lu, Wei ^a   Liu, Xiaodong ^a   Zhang, Li ^c  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF ALBERTA   (Canada)

^c LIAONING UNIVERSITY   (China)

Author keywords

Alternating optimization; Attribute weighting; Fuzzy clustering; Genetic algorithm; Interval number

Indexed keywords

C (PROGRAMMING LANGUAGE); FUZZY CLUSTERING; FUZZY SYSTEMS; GENETIC ALGORITHMS;

ALTERNATING OPTIMIZATIONS; ATTRIBUTE WEIGHTING; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS ALGORITHMS; INTERVAL NUMBER; OPTIMIZATION OPERATORS; WEIGHTED FUZZY C-MEANS; WEIGHTED FUZZY CLUSTERING;

CLUSTERING ALGORITHMS;

EID: 84899692098     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.03.042     Document Type: Article

References (46)

1. L. Bandeira, J. Sousa, and U. Kaymak Fuzzy clustering in classification using weighted features Lecture Notes in Computer Science 2715 2003 560 567
2. Z. Bao, B. Han, and S. Wu A general weighted fuzzy clustering algorithm Lecture Notes in Computer Science 4142 2006 102 109
3. M. Baskir, and I. Turksen Enhanced fuzzy clustering algorithm and cluster validity index for human perception Expert Systems with Applications 40 3 2013 929 937
4. P. Chang, C. Fan, and W. Dzan A CBR-based fuzzy decision tree approach for database classification Expert Systems with Applications 37 1 2010 214 225
5. P. Chang, C. Fan, and Y. Wang Data clustering and evolving fuzzy decision tree for data base classification problems Communications in Computer and Information Science 15 2008 463 470
6. Chen, G., et al. (2009). Research on spatially weighted fuzzy dynamic clustering algorithm and spatial data mining visualization. In Proceedings of world congress on software engineering (pp. 60-66), Xiamen.
7. M. Chen, and D. Miao Interval set clustering Expert Systems with Applications 38 4 2011 2923 2932
8. T. Cura A particle swarm optimization approach to clustering Expert Systems with Applications 39 1 2012 1582 1588
9. T. Entani, and H. Tanaka Interval estimations of global weights in AHP by upper approximation Fuzzy Sets and Systems 158 17 2007 1913 1921
10. C. Fan et al. A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification Applied Soft Computing 11 1 2011 632 644
11. J. Fan, W. Zhen, and W. Xie Suppressed fuzzy c-means clustering algorithm Pattern Recognition Letters 24 9-10 2004 1607 1612
12. Frank, A., & Asuncion, A. (2014). UCI machine learning repository, < http://archive.ics.uci.edu/ml >.
13. H. Frigui, and O. Nasraoui Unsupervised learning of prototypes and attribute weights Pattern Recognition 37 3 2004 567 581
14. L. Hall, I. Ozyurt, and J. Bezdek Clustering with a genetically optimized approach IEEE Transactions on Evolutionary Computation 3 2 1999 103 112
15. B. Han, X. Gao, and H. Ji A novel feature weighted clustering algorithm based on rough sets for shot boundary detection Lecture Notes in Computer Science 4223 2006 471 480
16. R. Hathaway, and J. Bezdek Optimization of clustering criteria by reformulation IEEE Transactions on Fuzzy Systems 3 2 1995 241 245
17. pnorm distances IEEE Transactions on Fuzzy Systems 8 5 2000 576 582
18. E. Hruschka et al. A survey of evolutionary algorithms for clustering IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews 39 2 2009 133 155
19. H. Izakian, and A. Abraham Fuzzy c-means and fuzzy swarm for fuzzy clustering problem Expert Systems with Applications 38 3 2011 1835 1838
20. R.A. Johnson, and D.W. Wichern Applied multivariate statistical analysis 1982 Prentice-Hall New Jersey
21. J.F. Kolen, and T. Hutcheson Reducing the time complexity of the fuzzy c-means algorithm IEEE Transactions on Fuzzy Systems 10 2 2002 263 267
22. Li, J., & Gao, J. (2009). Research on improved weighted fuzzy clustering algorithm based on rough set. In Proceedings of international conference on computer engineering and technology (pp. 98-102), Singapore.
23. J. Li et al. A feature weighted fuzzy clustering algorithm Journal of Beijing Electronic Science and Technology Institute 15 2 2007 74 76
24. J. Li, X. Gao, and L. Jiao A new feature weighted fuzzy clustering algorithm Lecture Notes in Computer Science 3641 2005 412 420
25. Y. Liu et al. A genetic clustering method for intrusion detection Pattern Recognition 37 5 2004 927 942
26. Mika, S. (2007). Weighted fuzzy clustering on subsets of variables. In Proceedings of international symposium on signal processing and its applications (pp. 1-4), Sharjah.
27. S. Mika Fuzzy variable selection with degree of classification based on dissimilarity between distributions of variables International Journal of Intelligent Technologies and Applied Statistics 1 2 2008 1 18
28. S. Monti, and G. Carenini Dealing with the expert inconsistency in probability elicitation IEEE Transactions on Knowledge and Data Engineering 12 4 2000 499 508
29. A. Mukhopadhyay, U. Maulik, and S. Bandyopadhyay Multiobjective genetic algorithm-based fuzzy clustering of categorical attributes IEEE Transactions on Evolutionary Computation 13 5 2009 991 1005
30. V. Petridis, S. Kazarlis, and A. Bakirtzis Varying fitness functions in genetic algorithm constrained optimization: The cutting stock and unit commitment problems IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics 28 5 1998 629 640
31. B.A. Pimentel, and R.M.C.R. Souza A multivariate fuzzy c-means method Applied Soft Computing 13 4 2013 1592 1607
32. B.A. Pimentel, and R.M.C.R. Souza A weighted multivariate fuzzy c-means method in interval-valued scientific production data Expert Systems with Applications 41 7 2014 3223 3236
33. T. Saaty Decision-making with the AHP: Why is the principal eigenvector necessary European Journal of Operational Research 145 1 2003 85 91
34. H. Shen et al. Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets Soft Computing 10 11 2006 1061 1073
35. W. Sheng et al. A weighted sum validity function for clustering with a hybrid niching genetic algorithm IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics 35 6 2005 1156 1167
36. Y. Sun Iterative RELIEF for feature weighting: Algorithms, theories, and applications IEEE Transactions on Pattern Analysis and Machine Intelligence 29 6 2007 1035 1051
37. L. Tao et al. An integrated multiple criteria decision making model applying axiomatic fuzzy set theory Applied Mathematical Modelling 36 10 2012 5046 5058
38. Y. Wang, and T. Elhag A goal programming method for obtaining interval weights from an interval comparison matrix European Journal of Operational Research 177 1 2007 458 471
39. Y. Wang, T. Elhag, and Z. Hua A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process Fuzzy Sets and Systems 157 23 2006 3055 3071
40. L. Wang et al. Fuzzy c-mean algorithm based on feature weights Chinese Journal of Computers 29 10 2006 1797 1803
41. X. Wang, Y. Wang, and L. Wang Improving fuzzy c-means clustering based on feature-weight learning Pattern Recognition Letters 25 10 2004 1123 1132
42. Y. Wang, J. Yang, and D. Xu A two-stage logarithmic goal programming method for generating weights from interval comparison matrices Fuzzy Sets and Systems 152 3 2005 475 498
43. D. Yeung, and X. Wang Improving performance of similarity-based clustering by feature weight learning IEEE Transactions on Pattern Analysis and Machine Intelligence 24 4 2002 556 561
44. J. Yu, Q. Cheng, and H. Huang Analysis of the weighting exponent in the FCM IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics 34 1 2004 634 639
45. J. Zhang et al. Robust data clustering by learning multi-metric Lq-norm distances Expert Systems with Applications 39 1 2012 335 349
46. L. Zhang et al. Research on customer classification based on fuzzy clustering Journal of Computational Information Systems 3 5 2007 1971 1976