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Volumn , Issue , 2004, Pages 467-470

An adaptive density-based clustering algorithm for spatial database with noise

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE DENSITY-BASED CLUSTERING ALGORITHMS (ADBC); CLUSTERING SPATIAL DATA; REAL DATA SETS; SIMULATED DATA SETS;

EID: 19544366585     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (13)
  • 9
    • 0032686723 scopus 로고    scopus 로고
    • Chameleon: A hierarchical clustering algorithm using dynamic modeling
    • G. Karypis, E.-H. Han, and V. Kumar. Chameleon: A hierarchical clustering algorithm using dynamic modeling. Computer, 32:68-75, 1999.
    • (1999) Computer , vol.32 , pp. 68-75
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 12
    • 0036709106 scopus 로고    scopus 로고
    • Clarans: A method for clustering objects for spatial data mining
    • R. Ng and J. Han. Clarans: A method for clustering objects for spatial data mining. IEEE Trans. on Knowledge and Data Engineering, vol. 14, no. 5, 2002.
    • (2002) IEEE Trans. on Knowledge and Data Engineering , vol.14 , Issue.5
    • Ng, R.1    Han, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.