Curvilinear components analysis and bregman divergences

Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010

Volumn , Issue , 2010, Pages 81-86

  Sun, Jigang ^a   Crowe, Malcolm ^a   Fyfe, Colin ^a  

^a UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BREGMAN DIVERGENCES; CURVILINEAR COMPONENT ANALYSIS; MULTI-DIMENSIONAL SCALING; NEIGHBOURHOOD; STRESS FUNCTIONS;

LEARNING SYSTEMS;

NEURAL NETWORKS;

EID: 78651293258     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. I. Borg and P.J.F. Groenen. Modern multidimensional scaling. New York: Springer, 2nd edition, 2005.
3. Pierre Demartines and Jeanny Hérault. Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets. IEEE Transactions on Neural Networks, 8(1), 1997.
4. Jeanny Hérault, Claire Jausions-Picaud, and Anne Guéerin-Duguée. Curvilinear component analysis for high-dimensional data representation: I. theoretical aspects and practical use in the presence of noise. In IWANN (2), pages 625-634, 1999.
5. J. Sammon. A nonlinear mapping for data structure analysis. IEEE Transactions on Computing, 18, 1969.
6. John Aldo Lee and Michel Verleysen. Simbed: Similarity-based embedding. In ICANN (2), pages 95-104, 2009.
7. Jigang Sun and Colin Fyfe. Extending metric multidimensional scaling with Bregman divergences. Technical report, University of the West of Scotland, September 2009.