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Volumn , Issue , 2008, Pages 1089-1092

Morpheus: Interactive exploration of subspace clustering

Author keywords

Data mining; High dimensional data; Interactive visualization tool; Subspace clustering

Indexed keywords

CLUSTERINGS; DATA MINING COMMUNITIES; DATA MINING TECHNIQUES; HIGH-DIMENSIONAL DATA; INTERACTIVE EXPLORATIONS; INTERACTIVE VISUALIZATION TOOL; KNOWLEDGE DISCOVERIES; KNOWLEDGE DISCOVERY PROCESS; LARGE DATUM; LOW-DIMENSIONAL SPACES; PARAMETER SETTINGS; SUBSPACE CLUSTERING; SUBSPACE CLUSTERS; SUBSPACE PROJECTIONS; TRADITIONAL CLUSTERING; UNDERSTANDABILITY; VISUALIZATION TECHNIQUES;

EID: 65449157709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1402026     Document Type: Conference Paper
Times cited : (31)

References (10)
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    • 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. In Proc. ACM SIGMOD, pages 94-105, 1998.
    • (1998) Proc. ACM SIGMOD , pp. 94-105
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 3
    • 47249137675 scopus 로고    scopus 로고
    • DUSC: Dimensionality unbiased subspace clustering
    • I. Assent, R. Krieger, E. Müller, and T. Seidl. DUSC: Dimensionality unbiased subspace clustering. In Proc. IEEE ICDM, pages 409-414, 2007.
    • (2007) Proc. IEEE ICDM , pp. 409-414
    • Assent, I.1    Krieger, R.2    Müller, E.3    Seidl, T.4
  • 6
    • 2942588997 scopus 로고    scopus 로고
    • Density-connected subspace clustering for high-dimensional data
    • K. Kailing, H.-P. Kriegel, and P. Kroger. Density-connected subspace clustering for high-dimensional data. In Proc. IEEE ICDM, pages 246-257, 2004.
    • (2004) Proc. IEEE ICDM , pp. 246-257
    • Kailing, K.1    Kriegel, H.-P.2    Kroger, P.3
  • 8
    • 57849131064 scopus 로고    scopus 로고
    • P3C: A robust projected clustering algorithm
    • G. Moise, J. Sander, and M. Ester. P3C: A robust projected clustering algorithm. In Proc. IEEE ICDM, pages 414-425, 2006.
    • (2006) Proc. IEEE ICDM , pp. 414-425
    • Moise, G.1    Sander, J.2    Ester, M.3
  • 10
    • 19544389465 scopus 로고    scopus 로고
    • SCHISM: A new approach for interesting subspace mining
    • K. Sequeira and M. Zaki. SCHISM: A new approach for interesting subspace mining. In Proc. IEEE ICDM, pages 186-193, 2004.
    • (2004) Proc. IEEE ICDM , pp. 186-193
    • Sequeira, K.1    Zaki, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.