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Volumn 26, Issue 15, 2005, Pages 2364-2373

QROCK: A quick version of the ROCK algorithm for clustering of categorical data

Author keywords

Categorical attributes; Data clustering; Hierarchical clustering; Similarity measure

Indexed keywords

COMPUTATIONAL COMPLEXITY; GRAPH THEORY; INTERNET; PATTERN RECOGNITION;

EID: 25844444240     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.04.008     Document Type: Article
Times cited : (69)

References (15)
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    • Gibson, D., Kleinberg, J., Raghavan, P., 1998. Clustering categorical data: an approach based on dynamical systems. In: Proc. 24th VLDB Conf., NY, USA.
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    • Gibson, D.1    Kleinberg, J.2    Raghavan, P.3
  • 11
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    • CHAMELEON: A hierarchical clustering algorithm using dynamic modeling
    • Special Issue on Data Analysis and Mining
    • Karyapis, G., Han, E.H., Kumar, V., 1999. CHAMELEON: A hierarchical clustering algorithm using dynamic modeling. In IEEE Computer, Special Issue on Data Analysis and Mining.
    • (1999) IEEE Computer
    • Karyapis, G.1    Han, E.H.2    Kumar, V.3
  • 12
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • Santiago, Chile, September 1994
    • Ng, R.T., Han, J., 1994. Efficient and effective clustering methods for spatial data mining. In: Proc. 1994 Internat. Conf. Very Large DataBases (VLDB'94), Santiago, Chile, September 1994, pp. 144-155.
    • (1994) Proc. 1994 Internat. Conf. Very Large DataBases (VLDB'94) , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 14
    • 0022026217 scopus 로고
    • Random sampling with a reservoir
    • J. Vitter Random sampling with a reservoir ACM Trans. Math. Software 11 1 1985 37 57
    • (1985) ACM Trans. Math. Software , vol.11 , Issue.1 , pp. 37-57
    • Vitter, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.