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Volumn 49, Issue , 2006, Pages 3-13

Approximate data mining in very large relational data

Author keywords

Cluster analysis; Data mining; Gene product similarities; Non Euclidean relational fuzzy c means; Progressive sampling; Relational data; Very large data

Indexed keywords

FUZZY C MEAN; GENE PRODUCTS; PROGRESSIVE SAMPLING; RELATIONAL DATA; VERY LARGE DATUM;

EID: 84873621866     PISSN: 14451336     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (15)
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  • 3
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  • 5
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  • 6
    • 0032665257 scopus 로고    scopus 로고
    • Clustering large data sets in arbitrary metric spaces
    • on Data Engineering, 502-511, IEEE CS Press, Los Alamitos, CA.
    • Ganti, V., Ramakrishnan, R., Gehrke, J., Powell, A. L. and French, J. C. (1999): Clustering large data sets in arbitrary metric spaces. Proc. 15th Int'l. Conf. on Data Engineering, 502-511, IEEE CS Press, Los Alamitos, CA.
    • (1999) Proc. 15th Int'l. Conf.
    • Ganti, V.1    Ramakrishnan, R.2    Gehrke, J.3    Powell, A.L.4    French, J.C.5
  • 7
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    • NERF cmeans: non-Euclidean relational fuzzy clustering
    • Hathaway, R. J. and Bezdek, J. C. (1994): NERF cmeans: non-Euclidean relational fuzzy clustering. Patt. Recog., 27(3), 429-437.
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    • Hathaway, R.J.1    Bezdek, J.C.2
  • 8
    • 84873637207 scopus 로고    scopus 로고
    • Approximate clustering in very large data sets
    • In press
    • Hathaway, R.J. and Bezdek, J.C. (2005). Approximate clustering in very large data sets. In press, Comp. Statistics and Data Analysis.
    • (2005)
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 10
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  • 12
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  • 15
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    • Probabilistic clustering in relational data
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.