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Volumn , Issue , 2009, Pages 1-6

SISC: A text classification approach using semi supervised subspace clustering

Author keywords

[No Author keywords available]

Indexed keywords

CHI SQUARE STATISTIC; DATA POINTS; EMPIRICAL EVALUATIONS; FUZZY CLUSTERS; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL; NEAREST-NEIGHBOR APPROACHES; REAL WORLD DATA; SEMI-SUPERVISED; SUBSPACE CLUSTERING; TEXT CLASSIFICATION; TEXT DATA; TEXT DOCUMENT;

EID: 77951201211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2009.61     Document Type: Conference Paper
Times cited : (19)

References (12)
  • 1
    • 0346847567 scopus 로고    scopus 로고
    • Unsupervised learning of prototypes and attribute weights
    • H. Frigui and O. Nasraoui, "Unsupervised learning of prototypes and attribute weights, " Pattern Recognition, vol. 37, no. 3, pp. 567-581, 2004.
    • (2004) Pattern Recognition , vol.37 , Issue.3 , pp. 567-581
    • Frigui, H.1    Nasraoui, O.2
  • 2
    • 0032090765 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining applications
    • R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan, "Automatic subspace clustering of high dimensional data for data mining applications, " SIGMOD Rec., vol. 27, no. 2, pp. 94-105, 1998.
    • (1998) SIGMOD Rec. , vol.27 , Issue.2 , pp. 94-105
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 7
    • 14344264451 scopus 로고    scopus 로고
    • Integrating constraints and metric learning in semi-supervised clustering
    • M. Bilenko, S. Basu, and R. J. Mooney, "Integrating constraints and metric learning in semi-supervised clustering, " in ICML, 2004, pp. 81-88.
    • (2004) ICML , pp. 81-88
    • Bilenko, M.1    Basu, S.2    Mooney, R.J.3
  • 8
    • 34347228671 scopus 로고    scopus 로고
    • An entropy weighting kmeans algorithm for subspace clustering of high-dimensional sparse data
    • L. Jing, M. K. Ng, and J. Z. Huang, "An entropy weighting kmeans algorithm for subspace clustering of high-dimensional sparse data, " IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 8, pp. 1026-1041, 2007.
    • (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
  • 10
    • 30344483178 scopus 로고    scopus 로고
    • Document clustering using locality preserving indexing
    • Dec.
    • D. Cai, X. He, and J. Han, "Document clustering using locality preserving indexing, " IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 12, pp. 1624-1637, Dec. 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.12 , pp. 1624-1637
    • Cai, D.1    He, X.2    Han, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.