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Volumn , Issue , 2001, Pages 263-268

A robust and scalable clustering algorithm for mixed type attributes in large database environment

Author keywords

Clustering; Log likelihood; Mixed type of attributes; Noisy data; Number of clusters

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; MATHEMATICAL MODELS; MERGING; PROBABILITY;

EID: 0035788889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502549     Document Type: Conference Paper
Times cited : (595)

References (8)
  • 1
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian clustering
    • Banfield, J. D. and Raffery, A. E. (1993). Model-based Gaussian and Non-Gaussian Clustering. Biometrics, 49, p. 803-821.
    • (1993) Biometrics , vol.49 , pp. 803-821
    • Banfield, J.D.1    Raffery, A.E.2
  • 2
    • 0032269108 scopus 로고    scopus 로고
    • How many clusters? which clustering method? answers via model-based cluster analysis
    • Fraley, C., and Raftery, A. E. (1998). How Many Clusters? Which Clustering Method? Answers via Model-based Cluster Analysis. Computer Journal, 4, p. 578-588.
    • (1998) Computer Journal , vol.4 , pp. 578-588
    • Fraley, C.1    Raftery, A.E.2
  • 5
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the K-means algorithm for clustering large datasets with categorical values
    • Huang, Z. (1998). Extensions to the K-means Algorithm for Clustering Large Datasets with Categorical Values. Data Mining and Knowledge Discovery, 2, p. 283-304.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 283-304
    • Huang, Z.1
  • 7
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. (1978). Estimating the dimension of a model. The Annual of Statistics, 6, p. 461-464.
    • (1978) The Annual of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.