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Volumn 24, Issue 3, 2012, Pages 771-804

A general framework for dimensionality-reducing data visualization mapping

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EID: 84861139710     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00250     Document Type: Letter
Times cited : (102)

References (44)
  • 3
    • 0038453192 scopus 로고    scopus 로고
    • Rademacher and gaussian complexities: risk bounds and structural results
    • Bartlett, P. L., & Mendelson, S. (2003). Rademacher and gaussian complexities: risk bounds and structural results. Journal of Machine Learning Research, 3, 463-482.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 463-482
    • Bartlett, P.L.1    Mendelson, S.2
  • 4
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • Baudat, G., & Anouar, F. (2000). Generalized discriminant analysis using a kernel approach. Neural Computation, 12, 2385-2404.
    • (2000) Neural Computation , vol.12 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 5
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., & Niyogi, P. (2003). Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15, 1373-15396.
    • (2003) Neural Computation , vol.15 , pp. 1373-15396
    • Belkin, M.1    Niyogi, P.2
  • 7
    • 0347963789 scopus 로고    scopus 로고
    • GTM: The generative topographic mapping
    • Bishop, C.M.,&Williams, C.K.I. (1998).GTM: The generative topographic mapping. Neural Computation, 10, 215-234.
    • (1998) Neural Computation , vol.10 , pp. 215-234
    • Bishop, C.M.1    Williams, C.K.I.2
  • 8
    • 2342542989 scopus 로고    scopus 로고
    • Tech. Rep.No. 15, Cambridge, MA: Mitsubishi Electric Research Laboratories
    • Brand, M. (2003). Charting amanifold (Tech. Rep.No. 15). Cambridge, MA: Mitsubishi Electric Research Laboratories.
    • (2003) Charting amanifold
    • Brand, M.1
  • 9
    • 77649237216 scopus 로고    scopus 로고
    • Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
    • Bunte, K., Hammer, B., Wism̈uller, A.,&Biehl, M. (2010). Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing, 73(7-9), 1074-1092.
    • (2010) Neurocomputing , vol.73 , Issue.7-8 , pp. 1074-1092
    • Bunte, K.1    Hammer, B.2    Wism̈uller, A.3    Biehl, M.4
  • 16
    • 84898964829 scopus 로고    scopus 로고
    • Stochastic neighbor embedding
    • S. Becker, S.Thrun, & K. Obermayer (Eds.), Cambridge, MA: MIT Press
    • Hinton, G., & Roweis, S. (2003). Stochastic neighbor embedding. In S. Becker, S.Thrun, & K. Obermayer (Eds.), Advances in neural information processing systems, 15 (pp. 833-840). Cambridge, MA: MIT Press.
    • (2003) Advances in neural information processing systems , vol.15 , pp. 833-840
    • Hinton, G.1    Roweis, S.2
  • 24
    • 61849137245 scopus 로고    scopus 로고
    • Quality assessment of dimensionality reduction: Rank-based criteria
    • Lee, J. A., & Verleysen, M. (2009). Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomput., 72(7-9), 1431-1443.
    • (2009) Neurocomput. , vol.72 , Issue.7-9 , pp. 1431-1443
    • Lee, J.A.1    Verleysen, M.2
  • 25
    • 33749258406 scopus 로고    scopus 로고
    • Kernel clustering-based discriminant analysis
    • Ma, B., Qu, H., & Wong, H. (2007). Kernel clustering-based discriminant analysis. Pattern Recognition, 40(1), 324-327.
    • (2007) Pattern Recognition , vol.40 , Issue.1 , pp. 324-327
    • Ma, B.1    Qu, H.2    Wong, H.3
  • 27
    • 84898999170 scopus 로고    scopus 로고
    • Multiple relational embedding
    • L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Cambridge, MA: MIT Press
    • Memisevic, R., & Hinton, G. (2005). Multiple relational embedding. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems, 17 (pp. 913-920). Cambridge, MA: MIT Press.
    • (2005) Advances in neural information processing systems , vol.17 , pp. 913-920
    • Memisevic, R.1    Hinton, G.2
  • 29
    • 8644270422 scopus 로고    scopus 로고
    • An extension of neural gas to local PCA
    • M̈oller, R., & Hoffmann, H. (2004). An extension of neural gas to local PCA. Neurocomputing, 62, 305-326.
    • (2004) Neurocomputing , vol.62 , pp. 305-326
    • M̈oller, R.1    Hoffmann, H.2
  • 30
    • 9144260753 scopus 로고    scopus 로고
    • Improved learning of Riemannian metrics for exploratory analysis
    • Peltonen, J., Klami, A., & Kaski, S. (2004). Improved learning of Riemannian metrics for exploratory analysis. Neural Networks, 17, 1087-1100.
    • (2004) Neural Networks , vol.17 , pp. 1087-1100
    • Peltonen, J.1    Klami, A.2    Kaski, S.3
  • 31
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S. T., & Saul, L. K. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500), 2323-2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 32
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • Piscataway, NJ: IEEE
    • Sammon, J. W. (1969). A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, C-18(5). Piscataway, NJ: IEEE.
    • (1969) IEEE Transactions on Computers , vol.18 C , Issue.5
    • Sammon, J.W.1
  • 33
    • 72249111970 scopus 로고    scopus 로고
    • Adaptive relevance matrices in learning vector quantization
    • Schneider, P., Biehl, M., & Hammer, B. (2009). Adaptive relevance matrices in learning vector quantization. Neural Computation, 21(12), 3532-3561.
    • (2009) Neural Computation , vol.21 , Issue.12 , pp. 3532-3561
    • Schneider, P.1    Biehl, M.2    Hammer, B.3
  • 35
    • 52149103339 scopus 로고    scopus 로고
    • Data visualization and dimensionality reduction using kernel maps with a reference point
    • Suykens, J.A.K. (2008).Data visualization and dimensionality reduction using kernel maps with a reference point. IEEE Transactions on Neural Networks, 19(9), 1501-1517.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.9 , pp. 1501-1517
    • Suykens, J.A.K.1
  • 36
    • 10944266507 scopus 로고    scopus 로고
    • Automatic alignment of local representations
    • S. Becker, S. Thrun, & K. Obermayer (Eds.), Cambridge, MA: MIT Press
    • Teh, Y. W., & Roweis, S. (2003). Automatic alignment of local representations. In S. Becker, S. Thrun, & K. Obermayer (Eds.), Advances in neural information processing systems, 15 (pp. 841-848). Cambridge, MA: MIT Press.
    • (2003) Advances in neural information processing systems , vol.15 , pp. 841-848
    • Teh, Y.W.1    Roweis, S.2
  • 37
    • 0034704229 scopus 로고    scopus 로고
    • Aglobal geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J. B., de Silva, V.,&Langford, J. C. (2000).Aglobal geometric framework for nonlinear dimensionality reduction. Science, 290(5500), 2319-2323.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 38
    • 84950351930 scopus 로고
    • Multidimensional scaling, I: Theory and method
    • Torgerson, W. (1952).Multidimensional scaling, I: Theory and method. Psychometrika, 17, 401-419.
    • (1952) Psychometrika , vol.17 , pp. 401-419
    • Torgerson, W.1
  • 39
    • 78049412906 scopus 로고    scopus 로고
    • Learning a parametric embedding by preserving local structure
    • Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AI-STATS) (pp. 384-391). JMLR
    • van der Maaten, L. J. P. (2009). Learning a parametric embedding by preserving local structure. In Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AI-STATS) (pp. 384-391). JMLR.
    • (2009) , pp. 384-391
    • van der Maaten, L.J.P.1
  • 42
    • 0030106462 scopus 로고
    • Semidefinite programming
    • Vandenberghe, L., & Boyd, S. (1994). Semidefinite programming. SIAM Review, 38, 49-95.
    • (1994) SIAM Review , vol.38 , pp. 49-95
    • Vandenberghe, L.1    Boyd, S.2
  • 43
    • 77949507946 scopus 로고    scopus 로고
    • Information retrieval perspective to nonlinear dimensionality reduction for data visualization
    • Venna, J., Peltonen, J., Nybo, K., Aidos, H., & Kaski, S. (2010). Information retrieval perspective to nonlinear dimensionality reduction for data visualization. Journal of Machine Learning Research, 11, 451-490.
    • (2010) Journal of Machine Learning Research , vol.11 , pp. 451-490
    • Venna, J.1    Peltonen, J.2    Nybo, K.3    Aidos, H.4    Kaski, S.5


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