Polito, Marzia and Perona, Pietro (2002) Grouping and dimensionality reduction by locally linear embedding. In: Advances in Neural Information Processing Systems. Advances in Neural Information Processing Systems . Vol.14. No.2. MIT Press , Cambridge, MA, pp. 1255-1262. ISBN 0-262-04208-8. https://resolver.caltech.edu/CaltechAUTHORS:20140730-101719764
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Abstract
Locally Linear Embedding (LLE) is an elegant nonlinear dimensionality-reduction technique recently introduced by Roweis and Saul 2]. It fails when the data is divided into separate groups. We study a variant of LLE that can simultaneously group the data and calculate local embedding of each group. An estimate for the upper bound on the intrinsic dimension of the data set is obtained automatically.
| Item Type: | Book Section | ||||||
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| Series Name: | Advances in Neural Information Processing Systems | ||||||
| Issue or Number: | 2 | ||||||
| Record Number: | CaltechAUTHORS:20140730-101719764 | ||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20140730-101719764 | ||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
| ID Code: | 47618 | ||||||
| Collection: | CaltechAUTHORS | ||||||
| Deposited By: | Caroline Murphy | ||||||
| Deposited On: | 19 Aug 2014 18:04 | ||||||
| Last Modified: | 03 Oct 2019 06:55 |
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