메뉴 건너뛰기




Volumn 4213 LNAI, Issue , 2006, Pages 446-453

Finding hierarchies of subspace clusters

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; HIERARCHICAL SYSTEMS;

EID: 33750312873     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871637_42     Document Type: Conference Paper
Times cited : (39)

References (9)
  • 1
    • 0032090765 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining applications
    • Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic subspace clustering of high dimensional data for data mining applications. In: Proc. SIGMOD. (1998)
    • (1998) Proc. SIGMOD
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 2
    • 0002646822 scopus 로고    scopus 로고
    • Entropy-based subspace clustering for mining numerical data
    • Cheng, C.H., Fu, A.W.C., Zhang, Y.: Entropy-based subspace clustering for mining numerical data. In: Proc. KDD. (1999)
    • (1999) Proc. KDD
    • Cheng, C.H.1    Fu, A.W.C.2    Zhang, Y.3
  • 3
    • 33750297146 scopus 로고    scopus 로고
    • Density-connected subspace clustering for high-dimensional data
    • Railing, K., Kriegel, H.P., Kröger, P.: Density-connected subspace clustering for high-dimensional data. In: Proc. SDM. (2004)
    • (2004) Proc. SDM
    • Railing, K.1    Kriegel, H.P.2    Kröger, P.3
  • 4
    • 34547251368 scopus 로고    scopus 로고
    • A generic framework for efficient subspace clustering of high-dimensional data
    • Kriegel, H.P., Kröger, P., Renz, M., Wurst, S.: A generic framework for efficient subspace clustering of high-dimensional data. In: Proc. ICDM. (2005)
    • (2005) Proc. ICDM
    • Kriegel, H.P.1    Kröger, P.2    Renz, M.3    Wurst, S.4
  • 7
    • 19544386608 scopus 로고    scopus 로고
    • Density connected clustering with local subspace preferences
    • Böhm, C., Kailing, K., Kriegel, H.P., Kroger, P.: Density connected clustering with local subspace preferences. In: Proc. ICDM. (2004)
    • (2004) Proc. ICDM
    • Böhm, C.1    Kailing, K.2    Kriegel, H.P.3    Kroger, P.4
  • 8
    • 0002663098 scopus 로고
    • SLINK: An optimally efficient algorithm for the single-link cluster method
    • Sibson, R.: SLINK: An optimally efficient algorithm for the single-link cluster method. The Computer Journal 16 (1973) 30-34
    • (1973) The Computer Journal , vol.16 , pp. 30-34
    • Sibson, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.