메뉴 건너뛰기




Volumn 1574, Issue , 1999, Pages 338-349

A fast algorithm for density-based clustering in large database

Author keywords

Clustering; Density base method; Spatial database

Indexed keywords

DATA MINING; DATABASE SYSTEMS; ELECTRIC NETWORK TOPOLOGY;

EID: 22644449321     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48912-6_45     Document Type: Conference Paper
Times cited : (12)

References (7)
  • 2
    • 0003136237 scopus 로고
    • Efficient and Effective Clustering Methods for Spatial Data Mining
    • Santiago, Chile, Sept
    • R. T. Ng, J. Han. Efficient and Effective Clustering Methods for Spatial Data Mining. In Proc. of the 20th VLDB Gonf., pages 144-155, Santiago, Chile, Sept. 1994.
    • (1994) Proc. of the 20th VLDB Gonf. , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 5
    • 0032091595 scopus 로고    scopus 로고
    • CURE: An Efficient Clustering Algorithm for Large Databases
    • Seattle, Washington, June
    • S. Guha, R. Ratogi, and K. Shim. CURE: An Efficient Clustering Algorithm for Large Databases. In Proc. of the ACM SIGMOD conf. on Management of Data, pages 73-84, Seattle, Washington, June 1998.
    • (1998) Proc. of the ACM SIGMOD conf. on Management of Data , pp. 73-84
    • Guha, S.1    Ratogi, R.2    Shim, K.3
  • 6
    • 0001899154 scopus 로고    scopus 로고
    • Incremental Clustering for Mining in a Data Warehousing Environment
    • New York city, New York, Aug
    • M. Ester, H. Kriegel, J. Sander, M. Wimmer and Xiaowei Xu. Incremental Clustering for Mining in a Data Warehousing Environment. In Proc. of the 24th VLDB conf., pages 323-333, New York city, New York, Aug. 1998.
    • (1998) Proc. of the 24th VLDB conf. , pp. 323-333
    • Ester, M.1    Kriegel, H.2    Sander, J.3    Wimmer, M.4    Xu, X.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.