메뉴 건너뛰기




Volumn , Issue , 2003, Pages 91-98

Scalable model-based clustering by working on data summaries

Author keywords

[No Author keywords available]

Indexed keywords


EID: 21944453457     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 4344560363 scopus 로고    scopus 로고
    • Clustering very large databases using EM mixture models
    • P. Bradley, U. Fayyad, and C. Reina. Clustering very large databases using EM mixture models. In ICPR'00, volume 2, pages 76-80, 2000.
    • (2000) ICPR'00 , vol.2 , pp. 76-80
    • Bradley, P.1    Fayyad, U.2    Reina, C.3
  • 2
    • 0034592783 scopus 로고    scopus 로고
    • A general probabilistic framework for clustering individuals
    • I. Cadez, S. Gaffney, and P. Smyth. A general probabilistic framework for clustering individuals. In KDD-2000, pages 140-149, 2000.
    • (2000) KDD-2000 , pp. 140-149
    • Cadez, I.1    Gaffney, S.2    Smyth, P.3
  • 3
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (Auto-Class): Theory and results
    • U. M. Fayyad and et al., editors
    • P. Cheeseman and J. Stutz. Bayesian classification (Auto-Class): Theory and results. In U. M. Fayyad and et al., editors, Advances in Knowledge Discovery and Data Mining, pages 153-180, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 153-180
    • Cheeseman, P.1    Stutz, J.2
  • 4
    • 0035788889 scopus 로고    scopus 로고
    • A robust and scalable clustering algorithm for mixed type attributes in large database environment
    • T. Chiu, D. Fang, J. Chen, Y. Wang, and C. Jeris. A robust and scalable clustering algorithm for mixed type attributes in large database environment. In KDD-2001, pages 263-268, 2001.
    • (2001) KDD-2001 , pp. 263-268
    • Chiu, T.1    Fang, D.2    Chen, J.3    Wang, Y.4    Jeris, C.5
  • 6
    • 0032131702 scopus 로고    scopus 로고
    • Algorithms for model-based Gaussian hierarchical clustering
    • Jan.
    • C. Fraley. Algorithms for model-based Gaussian hierarchical clustering. SIAM Journal on Scientific Computing, 20(1):270-281, Jan. 1999.
    • (1999) SIAM Journal on Scientific Computing , vol.20 , Issue.1 , pp. 270-281
    • Fraley, C.1
  • 10
    • 0034826101 scopus 로고    scopus 로고
    • An experimental comparison of model-based clustering methods
    • M. Meilǎ and D. Heckerman. An experimental comparison of model-based clustering methods. Machine Learning, 42(1/2):9-29, 2001.
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 9-29
    • Meilǎ, M.1    Heckerman, D.2
  • 11
    • 84899029127 scopus 로고    scopus 로고
    • Very fast EM-based mixture model clustering using multiresolution KD-trees
    • A. Moore. Very fast EM-based mixture model clustering using multiresolution KD-trees. In NIPS'99, pages543-549, 1999.
    • (1999) NIPS'99 , pp. 543-549
    • Moore, A.1
  • 12
    • 0003136237 scopus 로고
    • Efficient and effective clustering methods for spatial data mining
    • R. T. Ng and J. Han. Efficient and effective clustering methods for spatial data mining. In VLDB'94, pages 144-155, 1994.
    • (1994) VLDB'94 , pp. 144-155
    • Ng, R.T.1    Han, J.2
  • 13
    • 0040438433 scopus 로고    scopus 로고
    • Density biased sampling: An improved method for data mining and clustering
    • C. R. Palmer and C. Faloutsos. Density biased sampling: An improved method for data mining and clustering. In SIGMOD-2000, pages 82-92, 2000.
    • (2000) SIGMOD-2000 , pp. 82-92
    • Palmer, C.R.1    Faloutsos, C.2
  • 14
    • 0002678075 scopus 로고    scopus 로고
    • Compressed data cubes for OLAP aggregate query approximation on continuous dimensions
    • J. Shanmugasundaram, U. Fayyad, and P. S. Bradley. Compressed data cubes for OLAP aggregate query approximation on continuous dimensions. In KDD-1999, pages 223-232, 1999.
    • (1999) KDD-1999 , pp. 223-232
    • Shanmugasundaram, J.1    Fayyad, U.2    Bradley, P.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.