Geometric Methods for Feature Extraction and Dimensional Reduction-Reference-Cited by-同舟云学术

Geometric Methods for Feature Extraction and Dimensional Reduction

Published: Issue: Volume: Page:59-91
ISSN:
Container-title:Data Mining and Knowledge Discovery Handbook
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Author:

Burges Christopher J. C.

Publisher

Springer-Verlag

Link

http://link.springer.com/content/pdf/10.1007/0-387-25465-X_4.pdf

Reference53 articles.

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4. M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6): 1373–1396, 2003.

5. Y. Bengio, J. Paiement, and P. Vincent. Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps and spectral clustering. In Advances in Neural Information Processing Systems 16. MIT Press, 2004.

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