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Volumn 1, Issue 2, 2009, Pages 149-177

SMART: A subspace clustering algorithm that automatically identifies the appropriate number of clusters

Author keywords

Cluster numbers; Data mining; Subspace clustering; Weighting; means

Indexed keywords


EID: 84863337579     PISSN: 17591163     EISSN: 17591171     Source Type: Journal    
DOI: 10.1504/IJDMMM.2009.026074     Document Type: Article
Times cited : (11)

References (43)
  • 2
    • 0032090765 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining applications
    • Agrawal, R., Gehrke, J., Gunopulos, D. and Raghavan, P. (1998) 'Automatic subspace clustering of high dimensional data for data mining applications', Proc. of ACM SIGMOD, pp.94-105. (Pubitemid 128655960)
    • (1998) SIGMOD Record , vol.27 , Issue.2 , pp. 94-105
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 4
    • 33746087056 scopus 로고    scopus 로고
    • Estimating the number of clusters using a windowing technique
    • DOI 10.1134/S1054661806020015
    • Boutsinas, B., Tasoulis, D. and Vrahatis, M. (2006) 'Estimating the number of clusters using a windowing technique', Journal of Pattern Recognition an Image Analysis, Vol. 16, No. 2, pp.143-154. (Pubitemid 44072312)
    • (2006) Pattern Recognition and Image Analysis , vol.16 , Issue.2 , pp. 143-154
    • Boutsinas, B.1    Tasoulis, D.K.2    Vrahatis, M.N.3
  • 5
    • 30344483178 scopus 로고    scopus 로고
    • Document clustering using locality preserving indexing
    • DOI 10.1109/TKDE.2005.198
    • Cai, D., He, X. and Han, J. (2005) 'Document clustering using locality preserving indexing', IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 12, pp.1624-1637. (Pubitemid 43060413)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.12 , pp. 1624-1637
    • Cai, D.1    He, X.2    Han, J.3
  • 6
    • 1842762839 scopus 로고    scopus 로고
    • An optimization algorithm for clustering using weighted dissimilarity measures
    • DOI 10.1016/j.patcog.2003.11.003, PII S0031320303004035
    • Chan, Y., Ching, K., Ng, M. and Huang, Z. (2004) 'An optimization algorithm for clustering using weighted dissimilarity measures', Pattern Recognition, Vol. 37, No. 5, pp.943-952. (Pubitemid 38473837)
    • (2004) Pattern Recognition , vol.37 , Issue.5 , pp. 943-952
    • Chan, E.Y.1    Ching, W.K.2    Ng, M.K.3    Huang, J.Z.4
  • 7
    • 0002646822 scopus 로고    scopus 로고
    • Entropy-based subspace clustering for mining numerical data
    • Cheng, C., Fu, A. and Zhang, Y. (1999) 'Entropy-based subspace clustering for mining numerical data', Proc. of ACM SIGKDD, pp.84-93.
    • (1999) Proc. of ACM SIGKDD , pp. 84-93
    • Cheng, C.1    Fu, A.2    Zhang, Y.3
  • 9
    • 0002414638 scopus 로고
    • Synthesized clustering: A method for amalgamating clustering bases with differential weighting variables
    • Desarbo, W., Carroll, J., Clark, L. and Green, P. (1984) 'Synthesized clustering: a method for amalgamating clustering bases with differential weighting variables', Psychometrika, Vol. 49, pp.57-78.
    • (1984) Psychometrika , vol.49 , pp. 57-78
    • Desarbo, W.1    Carroll, J.2    Clark, L.3    Green, P.4
  • 13
    • 0018332017 scopus 로고
    • Unresolved problems in cluster analysis
    • Everitt, B. (1979) 'Unresolved problems in cluster analysis', Biometrics, Vol. 35, pp.169-181. (Pubitemid 9136573)
    • (1979) Biometrics , vol.35 , Issue.1 , pp. 169-181
    • Everitt, B.S.1
  • 15
    • 8644255832 scopus 로고    scopus 로고
    • Clustering objects on subsets of attributes
    • Friedman, J. and Meulman, J. (2004) 'Clustering objects on subsets of attributes', J.R.Statist. Soc. B, Vol. 66, No. 4, pp.815-849.
    • (2004) J.R.Statist. Soc. B , vol.66 , Issue.4 , pp. 815-849
    • Friedman, J.1    Meulman, J.2
  • 16
    • 0346847567 scopus 로고    scopus 로고
    • Unsupervised learning of prototypes and attribute weights
    • DOI 10.1016/j.patcog.2003.08.002
    • Frigui, H. and Nasraoui, O. (2004) 'Unsupervised learning of prototypes and attribute weights', Pattern Recognition, Vol. 37, No. 3, pp.567-581. (Pubitemid 38003094)
    • (2004) Pattern Recognition , vol.37 , Issue.3 , pp. 567-581
    • Frigui, H.1    Nasraoui, O.2
  • 17
    • 0034710876 scopus 로고    scopus 로고
    • Coupled two-way clustering analysis of gene microarray data
    • Getz, G., Levine, E. and Domany, E. (2000) 'Coupled two-way clustering analysis of gene microarray data', Proc. of the Natl. Acad. Sci., Vol. 97, No. 22, pp.12079-12084.
    • (2000) Proc. of the Natl. Acad. Sci. , vol.97 , Issue.22 , pp. 12079-12084
    • Getz, G.1    Levine, E.2    Domany, E.3
  • 22
    • 84893405732 scopus 로고    scopus 로고
    • Data clustering: A review
    • Jain, A., Murty, M. and Flynn, P. (1999) 'Data clustering: a review', ACM Computering Surveys, Vol. 31, No. 3, pp.264-323.
    • (1999) ACM Computering Surveys , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.1    Murty, M.2    Flynn, P.3
  • 23
    • 34347228671 scopus 로고    scopus 로고
    • An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data
    • DOI 10.1109/TKDE.2007.1048
    • Jing, L., Ng, M. and Huang, Z. (2007) 'An entropy weighting k-means algorithm for subspace clustering of high-dimensional and sparse data', IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 8, pp.1026-1041. (Pubitemid 47000341)
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.8 , pp. 1026-1041
    • Jing, L.1    Ng, M.K.2    Huang, J.Z.3
  • 29
    • 0002048998 scopus 로고
    • A validation study of a variable weighting algorithm for cluster analysis
    • Milligan, G. (1989) 'A validation study of a variable weighting algorithm for cluster analysis', Journal of Classification, Vol. 6, pp.53-71.
    • (1989) Journal of Classification , vol.6 , pp. 53-71
    • Milligan, G.1
  • 30
    • 0042312608 scopus 로고    scopus 로고
    • Feature weighting in k-means clustering
    • Modha, D. and Spangler, W. (2003) 'Feature weighting in k-means clustering', Machine Learning, Vol. 52, pp.217-237.
    • (2003) Machine Learning , vol.52 , pp. 217-237
    • Modha, D.1    Spangler, W.2
  • 32
    • 17044376078 scopus 로고    scopus 로고
    • Subspace clustering for high dimensional data: A review
    • Parsons, L., Haque, E. and Liu, H. (2004) 'Subspace clustering for high dimensional data: a review', SIGKDD Explorations, Vol. 6, No. 1, pp.90-105.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 90-105
    • Parsons, L.1    Haque, E.2    Liu, H.3
  • 35
    • 0032023174 scopus 로고    scopus 로고
    • A new cluster validity index for the fuzzy c-mean
    • PII S0167865597001682
    • Rezae, M., Letlieveldt, B. and Reiber, J. (1998) 'A new cluster validity index for the fuzzy c-means', Pattern Recognition Letter, Vol. 19, No. 3, pp.237-246. (Pubitemid 128383121)
    • (1998) Pattern Recognition Letters , vol.19 , Issue.3-4 , pp. 237-246
    • Ramze Rezaee, M.1    Lelieveldt, B.P.F.2    Reiber, J.H.C.3
  • 37
    • 16244377091 scopus 로고    scopus 로고
    • Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms
    • Proceedings - 16th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2004
    • Salvador, S. and Chan, P. (2004) 'Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms', Proc. of the 16th IEEE International Conference on Tools with Artificial Intelligence, pp.576-584. (Pubitemid 40455065)
    • (2004) Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI , pp. 576-584
    • Salvador, S.1    Chan, P.2
  • 38
    • 4544367326 scopus 로고    scopus 로고
    • Fcm-based model selection algorithms for determining the number of clusters
    • Sun, H., Wang, S. and Jiang, Q. (2004) 'Fcm-based model selection algorithms for determining the number of clusters', Pattern Recognition, Vol. 37, pp.2027-2037.
    • (2004) Pattern Recognition , vol.37 , pp. 2027-2037
    • Sun, H.1    Wang, S.2    Jiang, Q.3
  • 39
    • 0025265976 scopus 로고
    • Medical literature as a potential source of new knowledge
    • Swanson, D. (1990) 'Medical literature as a potential source of new knowledge', Bull Med. Libr. Assoc., Vol. 78, No. 1, pp.29-37. (Pubitemid 20100877)
    • (1990) Bulletin of the Medical Library Association , vol.78 , Issue.1 , pp. 29-37
    • Swanson, D.R.1
  • 40
    • 0032671277 scopus 로고    scopus 로고
    • A kurtosis-based dynamic approach to Gaussian mixture modeling
    • Vlassis, N. and Likas, A. (1999) 'A kurtosis-based dynamic approach to Gaussian mixture modeling', IEEE Transaction on Systems, Man, and Cybernetics, Vol. 29, No. 4, pp.393-399.
    • (1999) IEEE Transaction on Systems, Man, and Cybernetics , vol.29 , Issue.4 , pp. 393-399
    • Vlassis, N.1    Likas, A.2
  • 42
    • 84863355330 scopus 로고    scopus 로고
    • Determining number of clusters
    • Final Report CMU-CS11-741
    • Yu, H. (1998) 'Determining number of clusters', Information Retrieval, Final Report CMU-CS11-741.
    • (1998) Information Retrieval
    • Yu, H.1
  • 43
    • 0031270377 scopus 로고    scopus 로고
    • A comparative study of clustering methods
    • PII S0167739X97000186
    • Zait, M. and Messatfa, H. (1997) 'A comparative study of clustering methods', Future Generation Computer Systems, Vol. 13, pp.149-159. (Pubitemid 127403229)
    • (1997) Future Generation Computer Systems , vol.13 , Issue.2-3 , pp. 149-159
    • Zait, M.1    Messatfa, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.