메뉴 건너뛰기




Volumn 81, Issue , 2012, Pages 49-59

A two-stage genetic algorithm for automatic clustering

Author keywords

Automatic clustering; Genetic algorithm; Mutation; Two stage selection

Indexed keywords

AUTOMATIC CLUSTERING; AUTOMATIC CLUSTERING ALGORITHM; CLUSTER CENTERS; CLUSTER NUMBERS; CLUSTERING PROBLEMS; DATA SETS; GENETIC CLUSTERING ALGORITHMS; GENETIC K-MEANS CLUSTERING; K-MEANS; MUTATION; MUTATION OPERATIONS; NUMBER OF CLUSTERS; REAL LIFE DATASETS; SEARCH CAPABILITIES; SPECTRAL ALGORITHM; TWO STAGE;

EID: 84856354856     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.11.001     Document Type: Article
Times cited : (105)

References (32)
  • 1
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond k-means
    • Jain A.K. Data clustering: 50 years beyond k-means. Pattern Recognition Letters 2010, 31(8):651-666.
    • (2010) Pattern Recognition Letters , vol.31 , Issue.8 , pp. 651-666
    • Jain, A.K.1
  • 2
    • 0004241258 scopus 로고    scopus 로고
    • Chapman & Hall/CRC, Boca Raton, FL
    • Gordon A.D. Classification 1999, Chapman & Hall/CRC, Boca Raton, FL. 2nd edition.
    • (1999) Classification
    • Gordon, A.D.1
  • 3
    • 0033734771 scopus 로고    scopus 로고
    • A genetic clustering algorithm for data with non-spherical-shape clusters
    • Tseng Lin Yu, Yang Shiueng Bien A genetic clustering algorithm for data with non-spherical-shape clusters. Pattern Recognition 2000, 33:1251-1259.
    • (2000) Pattern Recognition , vol.33 , pp. 1251-1259
    • Tseng, L.Y.1    Yang, S.B.2
  • 6
    • 23844479658 scopus 로고    scopus 로고
    • Integrating multi-objective genetic algorithm and validity analysis for locating and ranking alternative clustering
    • Liu Y.M., Özyer T., Alhajj R., et al. Integrating multi-objective genetic algorithm and validity analysis for locating and ranking alternative clustering. Informatica 2005, 29:33-40.
    • (2005) Informatica , vol.29 , pp. 33-40
    • Liu, Y.M.1    Özyer, T.2    Alhajj, R.3
  • 8
    • 0031248740 scopus 로고    scopus 로고
    • A clustering algorithm using an evoulutionary programming-based approach
    • Sarkar Manish, Yegnanarayana B., Khemani Deepak A clustering algorithm using an evoulutionary programming-based approach. Pattern Recognition Letters 1997, 18:975-986.
    • (1997) Pattern Recognition Letters , vol.18 , pp. 975-986
    • Sarkar, M.1    Yegnanarayana, B.2    Khemani, D.3
  • 9
    • 47349108880 scopus 로고    scopus 로고
    • Research of k-means clustering method based on parallel genetic algorithm, in: Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing
    • Wenhua Dai, Cuizhen Jiao, Research of k-means clustering method based on parallel genetic algorithm, in: Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing, vol. 2, 2007, pp. 158-161.
    • (2007) , vol.2 , pp. 158-161
    • Dai, W.1    Jiao, C.2
  • 10
    • 67650951113 scopus 로고    scopus 로고
    • A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters
    • Saha Sriparna, Bandyopadhyay Sanghamitra A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters. Information Sciences 2009, 179:3230-3246.
    • (2009) Information Sciences , vol.179 , pp. 3230-3246
    • Saha, S.1    Bandyopadhyay, S.2
  • 11
    • 70449699857 scopus 로고    scopus 로고
    • A symmetry based multiobjective clustering technique for automatic evolution of clusters
    • Saha Sriparna, Bandyopadhyay Sanghamitra A symmetry based multiobjective clustering technique for automatic evolution of clusters. Pattern Recognition 2010, 43:738-751.
    • (2010) Pattern Recognition , vol.43 , pp. 738-751
    • Saha, S.1    Bandyopadhyay, S.2
  • 12
    • 0029360028 scopus 로고
    • On cluster validity for the fuzzy c-means model
    • Pal N.R., Bezdek J.C. On cluster validity for the fuzzy c-means model,. IEEE Transactions on Fuzzy Systems 1995, 3(3):370-379.
    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , Issue.3 , pp. 370-379
    • Pal, N.R.1    Bezdek, J.C.2
  • 13
    • 84877734374 scopus 로고    scopus 로고
    • Comparison of four initialization techniques for the k-medians clustering algorithm, F.J. Ferri et al. (eds.), SSPR&SPR 2000, LNCS
    • Juan, E. Vidal, Comparison of four initialization techniques for the k-medians clustering algorithm, F.J. Ferri et al. (eds.), SSPR&SPR 2000, LNCS, vol. 1876, 2000, pp. 842-852.
    • (2000) , vol.1876 , pp. 842-852
    • Juan, E.V.1
  • 14
    • 10944263171 scopus 로고    scopus 로고
    • Hwee-Boon Low, Initialization of cluster refinement algorithms: a review and comparative study, in: Proceedings of International Joint Conference on Neural Networks (IJCNN)
    • Ji He, Man Lan, Chew-Lim Tan, Sam-Yuan Sung, Hwee-Boon Low, Initialization of cluster refinement algorithms: a review and comparative study, in: Proceedings of International Joint Conference on Neural Networks (IJCNN), 2004, pp. 297-302.
    • (2004) , pp. 297-302
    • Ji, H.1    Lan, M.2    Tan, C.-L.3    Sung, S.-Y.4
  • 15
    • 67349143085 scopus 로고    scopus 로고
    • A new initialization method for categorical data clustering
    • Cao Fuyuan, Liang Jiye, Bai Liang A new initialization method for categorical data clustering,. Expert Systems with Applications 2009, 36:10223-10228.
    • (2009) Expert Systems with Applications , vol.36 , pp. 10223-10228
    • Cao, F.1    Liang, J.2    Bai, L.3
  • 16
    • 84856325185 scopus 로고    scopus 로고
    • An experimental comparison of several clustering and initialization methods, in: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann, San Francisco, CA
    • M. Meilã, D. Heckerman, An experimental comparison of several clustering and initialization methods, in: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann, San Francisco, CA, 1998, pp. 386-395.
    • (1998) , pp. 386-395
    • Meilã, M.1    Heckerman, D.2
  • 17
    • 77953022339 scopus 로고    scopus 로고
    • Intelligent choice of the number of clusters in k-Means clustering: an experimental study with different cluster spreads
    • Ming-Tso Chiang Mark, Mirkin Boris Intelligent choice of the number of clusters in k-Means clustering: an experimental study with different cluster spreads. Journal of Classification 2009, 27(1):3-40.
    • (2009) Journal of Classification , vol.27 , Issue.1 , pp. 3-40
    • Ming-Tso Chiang, M.1    Mirkin, B.2
  • 19
    • 22944431506 scopus 로고    scopus 로고
    • Improving the efficiency of a clustering genetic algorithm, in: Proceedings of Advances in Artificial Intelligence IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-25. Springer-Verlag GmbH, Lecture Notes in Computer Science
    • E.R. Hruschka, R.J.G.B. Campello, L.N. de Castro, Improving the efficiency of a clustering genetic algorithm, in: Proceedings of Advances in Artificial Intelligence IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-25. Volume 3315, Springer-Verlag GmbH, Lecture Notes in Computer Science, 2004, pp. 861-868.
    • (2004) , vol.3315 , pp. 861-868
    • Hruschka, E.R.1    Campello, R.J.G.B.2    De Castro, L.N.3
  • 22
    • 0014810305 scopus 로고
    • Numerical methods for fuzzy clustering
    • Ruspini E.H. Numerical methods for fuzzy clustering. Information Science 1970, 2:319-350.
    • (1970) Information Science , vol.2 , pp. 319-350
    • Ruspini, E.H.1
  • 23
    • 84856357245 scopus 로고    scopus 로고
    • UCI Machine Learning Repository Irvine, CA: University of California, School of Information and Computer Science
    • A., Frank, A., Asuncion, UCI Machine Learning Repository Irvine, CA: University of California, School of Information and Computer Science, 2010. http://archive.ics.uci.edu/ml.
    • (2010)
    • Frank, A.1    Asuncion, A.2
  • 25
    • 85199289614 scopus 로고    scopus 로고
    • Event detection by eigenvector decomposition using object and frame features, in: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition workshop
    • F. Porikli, T. Haga, Event detection by eigenvector decomposition using object and frame features, in: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition workshop, 2004, pp. 114-121.
    • (2004) , pp. 114-121
    • Porikli, F.1    Haga, T.2
  • 26
    • 33644783522 scopus 로고    scopus 로고
    • Self-tuning spectral clustering, in: Proceedings of the Advances in Neural Information Processing Systems, Vancouver, Canada
    • L. Zelnik-Manor, P. Perona, Self-tuning spectral clustering, in: Proceedings of the Advances in Neural Information Processing Systems, Vancouver, Canada, 2004, pp. 1601-1608.
    • (2004) , pp. 1601-1608
    • Zelnik-Manor, L.1    Perona, P.2
  • 27
    • 35448945640 scopus 로고    scopus 로고
    • Spectral clustering with eigenvector selection
    • Xiang Tao, Gong Shaogang Spectral clustering with eigenvector selection. Pattern Recognition 2008, 41(3):1012-1029.
    • (2008) Pattern Recognition , vol.41 , Issue.3 , pp. 1012-1029
    • Xiang, T.1    Gong, S.2
  • 30
    • 78650780456 scopus 로고    scopus 로고
    • The methods of cluster analysis results validation, in: Proceedings of International Conference RelStat'04 Part I Transport and Telecommunication
    • Irina Yatskiv, Lada Gusarova, The methods of cluster analysis results validation, in: Proceedings of International Conference RelStat'04 Part I Transport and Telecommunication, vol. 6, no. 1, 2005, pp. 75-80.
    • (2005) , vol.6 , Issue.1 , pp. 75-80
    • Yatskiv, I.1    Gusarova, L.2
  • 31
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • Rand W.M. Objective criteria for the evaluation of clustering methods. Journal of the American statistical Association 1971, 66:850-864.
    • (1971) Journal of the American statistical Association , vol.66 , pp. 850-864
    • Rand, W.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.