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Volumn 2006, Issue , 2006, Pages 996-1000

A fast density-based clustering algorithm for large databases

Author keywords

Clustering; DBSCAN; Kernel transformation

Indexed keywords

APPROXIMATION THEORY; DATABASE SYSTEMS; LINEAR CONTROL SYSTEMS; QUERY LANGUAGES;

EID: 33947247062     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.258531     Document Type: Conference Paper
Times cited : (67)

References (12)
  • 2
    • 0036709106 scopus 로고    scopus 로고
    • CLARANS: A Method for Clustering Objects for Spatial Data Mining
    • SEPTEMBER
    • Raymond T. Ng and Jiawei Han, CLARANS: A Method for Clustering Objects for Spatial Data Mining, IEEE TRANSACTIONS ON KNOWLEDGE and DATA ENGINEERING, Vol. 14, No. 5, SEPTEMBER 2002.
    • (2002) IEEE TRANSACTIONS ON KNOWLEDGE and DATA ENGINEERING , vol.14 , Issue.5
    • Ng, R.T.1    Han, J.2
  • 3
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • Zhang T, Ramakrishnan R., Livny M., BIRCH: An efficient data clustering method for very large databases, In: SIGMOD Conference, pp.103-114, 1996.
    • (1996) SIGMOD Conference , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3
  • 4
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An efficient clustering algorithm for large databases
    • Guha S, Rastogi R, Shim K., CURE: An efficient clustering algorithm for large databases, In: SIGMOD Conference, pp.73-84, 1998.
    • (1998) SIGMOD Conference , pp. 73-84
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 7
    • 84994158589 scopus 로고    scopus 로고
    • STING: A statistical information grid approach to spatial data mining
    • Athens, pp
    • Wang W., Yang J., Muntz R., STING: A statistical information grid approach to spatial data mining, In: Proc. of the 23rd VLDB Conf. Athens, pp.186-195, 1997.
    • (1997) Proc. of the 23rd VLDB Conf , pp. 186-195
    • Wang, W.1    Yang, J.2    Muntz, R.3
  • 8
    • 0001254523 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining applications
    • Rakesh A., Johanners G., Dimitrios G., Prabhakar R., Automatic subspace clustering of high dimensional data for data mining applications, In: Proc. of the ACM SIGMOD, pp.94-105, 1999.
    • (1999) Proc. of the ACM SIGMOD , pp. 94-105
    • Rakesh, A.1    Johanners, G.2    Dimitrios, G.3    Prabhakar, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.