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Volumn , Issue , 2011, Pages 867-872

SDR: An algorithm for clustering categorical data using rough set theory

Author keywords

clustering; MMeR; MMR; SDR; uncertainty

Indexed keywords

CLUSTERING; MMER; MMR; SDR; UNCERTAINTY;

EID: 81355132569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RAICS.2011.6069433     Document Type: Conference Paper
Times cited : (25)

References (15)
  • 1
    • 34548666399 scopus 로고    scopus 로고
    • MMR: An algorithm for clustering categorical data using rough set theory
    • D Parmar, Teresa Wu, Jennifer B, "MMR: An algorithm for clustering categorical data using Rough Set Theory", Data & Knowledge Engineering, 63 (2007), pp.879 - 893.
    • (2007) Data & Knowledge Engineering , vol.63 , pp. 879-893
    • Parmar, D.1    Wu, T.2    Jennifer, B.3
  • 3
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Z. Huang, Extensions to the k-means algorithm for clustering large data sets with categorical values, Data Mining and Knowledge Discovery 2 (3) (1998), pp. 283-304.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1
  • 5
    • 1842587592 scopus 로고    scopus 로고
    • Cluster analysis of gene expression data based on self-splitting and merging competitive learning
    • S. Wu, A. Liew, H. Yan, M. Yang, Cluster analysis of gene expression data based on self-splitting and merging competitive learning, IEEE Transactions on Information Technology in BioMedicine 8 (1) (2004), pp. 5-15.
    • (2004) IEEE Transactions on Information Technology in BioMedicine , vol.8 , Issue.1 , pp. 5-15
    • Wu, S.1    Liew, A.2    Yan, H.3    Yang, M.4
  • 9
    • 0027641106 scopus 로고    scopus 로고
    • A methodology for large scale R&D planning based on cluster analysis
    • R. Mathieu, J. Gibson, A Methodology for large scale R&D planning based on cluster analysis, IEEE Transactions on Engineering Management 40 (3) (2004), pp. 283-292.
    • (2004) IEEE Transactions on Engineering Management , vol.40 , Issue.3 , pp. 283-292
    • Mathieu, R.1    Gibson, J.2
  • 10
    • 0034133769 scopus 로고    scopus 로고
    • Clustering categorical data: An approach based on dynamical systems
    • D. Gibson, J. Kleinberg, P. Raghavan, Clustering categorical data: an approach based on dynamical systems, The Very Large Data Bases Journal 8 (3-4) (2000), pp. 222-236.
    • (2000) The Very Large Data Bases Journal , vol.8 , Issue.3-4 , pp. 222-236
    • Gibson, D.1    Kleinberg, J.2    Raghavan, P.3
  • 11
    • 0034228041 scopus 로고    scopus 로고
    • Rock: A robust clustering algorithm for categorical attributes
    • S. Guha, R. Rastogi, K. Shim, ROCK: a robust clustering algorithm for categorical attributes, Information Systems 25 (5) (2000), pp. 345-366.
    • (2000) Information Systems , vol.25 , Issue.5 , pp. 345-366
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 15
    • 23844536246 scopus 로고    scopus 로고
    • Fuzzy clustering of categorical data using fuzzy centroids
    • D. Kim, K. Lee, D. Lee, Fuzzy clustering of categorical data using fuzzy centroids, Pattern Recognition Letters 25 (11) (2004), pp. 1263-1271.
    • (2004) Pattern Recognition Letters , vol.25 , Issue.11 , pp. 1263-1271
    • Kim, D.1    Lee, K.2    Lee, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.