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Volumn , Issue , 2004, Pages 153-160

Locally linear metric adaptation for semi-supervised clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; INFORMATION ANALYSIS; KNOWLEDGE ACQUISITION; MATHEMATICAL TRANSFORMATIONS; PARAMETER ESTIMATION; PATTERN RECOGNITION; PROBLEM SOLVING;

EID: 14344262274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (21)
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  • 5
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    • (Technical Report). Department of Statistics, Stanford University, Stanford, CA, USA
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    • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • Sydney, Australia
    • Klein, D., Kamvar, S., & Manning, C. (2002). From instance-level constraints to space-level constraints: making the most of prior knowledge in data clustering. Proceedings of the Nineteenth International Conference on Machine Learning (pp. 307-314). Sydney, Australia.
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    • Klein, D.1    Kamvar, S.2    Manning, C.3
  • 10
    • 0001920729 scopus 로고
    • Similarity metric learning for a variable-kernel classifier
    • Lowe, D. (1995). Similarity metric learning for a variable-kernel classifier. Neural Computation, 7, 72-85.
    • (1995) Neural Computation , vol.7 , pp. 72-85
    • Lowe, D.1
  • 12
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • Poggio, T., &: Girosi, F. (1990). Networks for approximation and learning. Proceedings of the IEEE, 78, 1481-1497.
    • (1990) Proceedings of the IEEE , vol.78 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 13
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • Rand, W. (1971). Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66, 846-850.
    • (1971) Journal of the American Statistical Association , vol.66 , pp. 846-850
    • Rand, W.1
  • 14
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S., & Saul, L. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2323-2326.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 16
    • 0036133934 scopus 로고    scopus 로고
    • Clustering based on conditional distributions in an auxiliary space
    • Sinkkonen, J., & Kaski, S. (2002). Clustering based on conditional distributions in an auxiliary space. Neural Computation, 14, 217-239.
    • (2002) Neural Computation , vol.14 , pp. 217-239
    • Sinkkonen, J.1    Kaski, S.2
  • 19
    • 0029305517 scopus 로고
    • Multidimensional scaling by iterative majorization using radial basis functions
    • Webb, A. (1995). Multidimensional scaling by iterative majorization using radial basis functions. Pattern Recognition, 28, 753-759.
    • (1995) Pattern Recognition , vol.28 , pp. 753-759
    • Webb, A.1
  • 20
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    • Distance metric learning, with application to clustering with side-information
    • S. Becker, S. Thrun and K. Obermayer (Ms.), Cambridge, MA, USA: MIT Press
    • Xing, E., Ng, A., Jordan, M., & Russell, S. (2003). Distance metric learning, with application to clustering with side-information. In S. Becker, S. Thrun and K. Obermayer (Ms.), Advances in neural information processing systems 15, 505-512. Cambridge, MA, USA: MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 505-512
    • Xing, E.1    Ng, A.2    Jordan, M.3    Russell, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.