메뉴 건너뛰기




Volumn 161, Issue 13, 2010, Pages 1774-1789

Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization

Author keywords

Fuzzy c means; Fuzzy clustering; Ordinal features; Particle swarm optimization; Pattern classification

Indexed keywords

ARTIFICIAL DATA; BAYESIAN; CATEGORICAL FEATURES; CLUSTERING METHODS; CLUSTERING PROCESS; COMPUTATIONAL EFFORT; DEGREES OF FREEDOM; FUZZY C MEAN; FUZZY C MEANS CLUSTERING; FUZZY C-MEANS; FUZZY C-MEANS CLUSTERING METHOD; GLOBAL OPTIMIZATION METHOD; IF THERE ARE; INTERVAL SCALE; LOCAL MINIMUMS; LOCAL OPTIMA; MEMBERSHIP MATRIX; MULTISTART; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; PARTICLE SWARM; PATTERN CLASSIFICATION; STANDARD METHOD; STOPPING CRITERIA;

EID: 77950628260     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2009.10.019     Document Type: Article
Times cited : (33)

References (64)
  • 1
    • 77950629538 scopus 로고    scopus 로고
    • D. Adler, Genetic algorithms and simulated annealing: a marriage proposal, in: IEEE ICNN, 2, 1993, pp. 1104-1109.
    • D. Adler, Genetic algorithms and simulated annealing: a marriage proposal, in: IEEE ICNN, Vol. 2, 1993, pp. 1104-1109.
  • 3
    • 0028667333 scopus 로고
    • Clustering with evolution strategies
    • Babu G.P., and Murti M.N. Clustering with evolution strategies. Pattern Recognition 27 (1994) 321-329
    • (1994) Pattern Recognition , vol.27 , pp. 321-329
    • Babu, G.P.1    Murti, M.N.2
  • 4
    • 0038494682 scopus 로고    scopus 로고
    • COOLCAT: An entropy-based algorithm for categorical clustering
    • D. Barbara, J. Couto, Y. Li, COOLCAT: an entropy-based algorithm for categorical clustering, in: Information and Knowledge Management, 2002, pp. 582-589.
    • (2002) Information and Knowledge Management , pp. 582-589
    • Barbara, D.1    Couto, J.2    Li, Y.3
  • 8
    • 77950629788 scopus 로고    scopus 로고
    • R.K. Brouwer, Clustering with mixed attributes consisting of intervalued and ordinal valued attributes, in: CIRAS, Singapore, 2005.
    • R.K. Brouwer, Clustering with mixed attributes consisting of intervalued and ordinal valued attributes, in: CIRAS, Singapore, 2005.
  • 9
    • 77950629706 scopus 로고    scopus 로고
    • R.K. Brouwer, A method for obtaining a fuzzy set covering for ordinal attributes for use in fuzzy clustering, Report BRO 2005, Thompson Rivers University, Kamloops, Canada, Department of Computing Science, Thompson Rivers University, 2005.
    • R.K. Brouwer, A method for obtaining a fuzzy set covering for ordinal attributes for use in fuzzy clustering, Report BRO 2005, Thompson Rivers University, Kamloops, Canada, Department of Computing Science, Thompson Rivers University, 2005.
  • 10
    • 46249121564 scopus 로고    scopus 로고
    • A method for fuzzy clustering with ordinal attributes replaced by fuzzy set parameters
    • R.K. Brouwer, A method for fuzzy clustering with ordinal attributes replaced by fuzzy set parameters, in: 3rd Internat. IEEE Conf. on Intelligent Systems, 2006, pp. 553-558.
    • (2006) 3rd Internat. IEEE Conf. on Intelligent Systems , pp. 553-558
    • Brouwer, R.K.1
  • 12
    • 44349141733 scopus 로고    scopus 로고
    • Fuzzy clustering of feature vectors with some ordinal valued attributes using gradient descent for learning
    • Brouwer R.K. Fuzzy clustering of feature vectors with some ordinal valued attributes using gradient descent for learning. IJUFKS 6 (2008) 195-218
    • (2008) IJUFKS , vol.6 , pp. 195-218
    • Brouwer, R.K.1
  • 13
  • 18
    • 44049106179 scopus 로고
    • Towards a global optimization technique
    • Dixon L.C.W., and Szego G.P. (Eds), North-Holland Publishers, Amsterdam, The Netherlands
    • Dixon L.C.W., Gomulka J., and Szego G.P. Towards a global optimization technique. In: Dixon L.C.W., and Szego G.P. (Eds). Towards Global Optimization Vol. 1 (1975), North-Holland Publishers, Amsterdam, The Netherlands 29-45
    • (1975) Towards Global Optimization , vol.1 , pp. 29-45
    • Dixon, L.C.W.1    Gomulka, J.2    Szego, G.P.3
  • 20
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn J.C. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics 3 (1973) 32-57
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 22
    • 33748494886 scopus 로고    scopus 로고
    • Adaptive hyper-fuzzy partition particle swarm optimization clustering algorithm
    • Feng H.-M., Chen C.-Y., and Ye F. Adaptive hyper-fuzzy partition particle swarm optimization clustering algorithm. Cybernetics and Systems 37 (2006) 463-479
    • (2006) Cybernetics and Systems , vol.37 , pp. 463-479
    • Feng, H.-M.1    Chen, C.-Y.2    Ye, F.3
  • 23
    • 0036589139 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm in size and shape optimization
    • 2002/05
    • Fourie P.C., and Groenwold A.A. The particle swarm optimization algorithm in size and shape optimization. Structural and Multidisciplinary Optimization 23 (2002) 259-267 2002/05
    • (2002) Structural and Multidisciplinary Optimization , vol.23 , pp. 259-267
    • Fourie, P.C.1    Groenwold, A.A.2
  • 27
    • 0001330098 scopus 로고
    • A general coefficient of similarity and some of its properties
    • Gower J.C. A general coefficient of similarity and some of its properties. Biometrics 27 (1971) 857-871
    • (1971) Biometrics , vol.27 , pp. 857-871
    • Gower, J.C.1
  • 31
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • 1998/09
    • Huang Z. Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Mining and Knowledge Discovery 2 (1998) 283-304 1998/09
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 283-304
    • Huang, Z.1
  • 32
    • 0032595161 scopus 로고    scopus 로고
    • A fuzzy k-modes algorithm for clustering categorical data
    • Huang Z., and Ng M.K. A fuzzy k-modes algorithm for clustering categorical data. IEEE Transactions on Fuzzy Systems 7 (1999) 446-452
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , pp. 446-452
    • Huang, Z.1    Ng, M.K.2
  • 34
    • 43949164756 scopus 로고
    • Simulated annealing: practice versus theory
    • 1993/12
    • Ingber L. Simulated annealing: practice versus theory. Mathematical and Computer Modelling 18 (1993) 29-57 1993/12
    • (1993) Mathematical and Computer Modelling , vol.18 , pp. 29-57
    • Ingber, L.1
  • 35
    • 44049112575 scopus 로고
    • Genetic algorithms and very fast simulated reannealing: a comparison
    • 1992/11
    • Ingber L., and Rosen B. Genetic algorithms and very fast simulated reannealing: a comparison. Mathematical and Computer Modelling 16 (1992) 87-100 1992/11
    • (1992) Mathematical and Computer Modelling , vol.16 , pp. 87-100
    • Ingber, L.1    Rosen, B.2
  • 39
    • 0028667331 scopus 로고
    • New algorithms for solving the fuzzy clustering problem
    • Kamel M.S., and Selim S.Z. New algorithms for solving the fuzzy clustering problem. Pattern Recognition 27 (1994) 585-598
    • (1994) Pattern Recognition , vol.27 , pp. 585-598
    • Kamel, M.S.1    Selim, S.Z.2
  • 43
    • 0031352450 scopus 로고    scopus 로고
    • J. Kennedy, R.C. Eberhart, A discrete binary version of the particle swarm algorithm, in: IEEE Internat. Conf. on 'Computational Cybernetics and Simulation', 1997, pp. 4104-4108.
    • J. Kennedy, R.C. Eberhart, A discrete binary version of the particle swarm algorithm, in: IEEE Internat. Conf. on 'Computational Cybernetics and Simulation', 1997, pp. 4104-4108.
  • 48
    • 1242330337 scopus 로고    scopus 로고
    • A GA-based clustering algorithm for large data sets with mixed numeric and categorical values
    • Soc. for Optical Eng. Multispectral Image Process. and Pattern Recognition, Beijing, China
    • J. Li, X. Gao, L. Jiao, A GA-based clustering algorithm for large data sets with mixed numeric and categorical values, in: The Internat. Soc. for Optical Eng. Multispectral Image Process. and Pattern Recognition, Vol. 5286, Beijing, China, 2003, pp. 171-174.
    • (2003) The Internat , vol.5286 , pp. 171-174
    • Li, J.1    Gao, X.2    Jiao, L.3
  • 50
    • 34548851696 scopus 로고    scopus 로고
    • Likelihood based fuzzy clustering for data sets of mixed features
    • Intell
    • L. Mahnhoon, R.K. Brouwer, Likelihood based fuzzy clustering for data sets of mixed features, in: IEEE Symp. on Foundations of Comput. Intell. FOCI 2007, 2007, pp. 544-549.
    • IEEE Symp. on Foundations of Comput , vol.FOCI 2007
    • Mahnhoon, L.1    Brouwer, R.K.2
  • 51
    • 0033715579 scopus 로고    scopus 로고
    • Genetic algorithm-based clustering technique
    • Maulik U., and Bandyopadhyay S. Genetic algorithm-based clustering technique. Pattern Recognition 33 (2000) 1455-1465
    • (2000) Pattern Recognition , vol.33 , pp. 1455-1465
    • Maulik, U.1    Bandyopadhyay, S.2
  • 53
    • 0008711381 scopus 로고
    • Genetic annealing
    • October
    • K.V. Price, Genetic annealing, Dr. Dobb's Journal October (1994) 127-134.
    • (1994) Dr. Dobb's Journal , pp. 127-134
    • Price, K.V.1
  • 54
    • 0029415780 scopus 로고
    • A conceptual version of the K-means algorithm
    • Ralambondrainy H. A conceptual version of the K-means algorithm. Pattern Recognition Letters 16 (1995) 1147-1157
    • (1995) Pattern Recognition Letters , vol.16 , pp. 1147-1157
    • Ralambondrainy, H.1
  • 56
    • 0023383552 scopus 로고
    • A multi-start global minimization algorithm with dynamic search trajectories
    • Snyman J.A., and Fatti L.P. A multi-start global minimization algorithm with dynamic search trajectories. Journal of Optimization Theory and Applications 54 (1987) 121-141
    • (1987) Journal of Optimization Theory and Applications , vol.54 , pp. 121-141
    • Snyman, J.A.1    Fatti, L.P.2
  • 57
    • 33750516992 scopus 로고
    • On the theory of scales of measurement
    • Stevens S.S. On the theory of scales of measurement. Science 103 (1946) 677-680
    • (1946) Science , vol.103 , pp. 677-680
    • Stevens, S.S.1
  • 58
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces
    • Storn R., and Price K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11 (1997) 341-359
    • (1997) Journal of Global Optimization , vol.11 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 60
    • 34249309600 scopus 로고    scopus 로고
    • D.N. Wilkie, S. Kok, A.A.G. Comparison of linear and classical velocity update rules in particle swarm optimization: notes on Diversity, International Journal of Numerical Methods in Engineering 70 (2007) 962-984.
    • D.N. Wilkie, S. Kok, A.A.G. Comparison of linear and classical velocity update rules in particle swarm optimization: notes on Diversity, International Journal of Numerical Methods in Engineering 70 (2007) 962-984.
  • 61
    • 0025651706 scopus 로고    scopus 로고
    • W.H. Wolberg, O.L. Mangasarian, Multisurface method of pattern separation for medical diagnosis applied to breast cytology, in: National Academy of Sciences, 1990, pp. 9193-9196.
    • W.H. Wolberg, O.L. Mangasarian, Multisurface method of pattern separation for medical diagnosis applied to breast cytology, in: National Academy of Sciences, 1990, pp. 9193-9196.
  • 62
    • 0028514383 scopus 로고
    • A guided evolutionary simulated annealing approach to the quadratic assignment problem
    • Yip P., and Pao Y. A guided evolutionary simulated annealing approach to the quadratic assignment problem. IEEE Transactions on Systems, Man and Cybernetics 74 (1994)
    • (1994) IEEE Transactions on Systems, Man and Cybernetics , vol.74
    • Yip, P.1    Pao, Y.2
  • 64
    • 85107848924 scopus 로고
    • Selecting typical instances in instance-based learning
    • Aberdeen, Scotland
    • J. Zhang, Selecting typical instances in instance-based learning, in: Ninth Internat. Machine Learning Conf., Aberdeen, Scotland, 1992, pp. 470-479.
    • (1992) Ninth Internat. Machine Learning Conf , pp. 470-479
    • Zhang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.