Principal surfaces from unsupervised kernel regression
We propose a nonparametric approach to learning of principal surfaces based on an unsupervised formulation of the Nadaraya-Watson kernel regression estimator. As compared with previous approaches to principal curves and surfaces, the new method offers several advantages: First, it provides a practic...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 27(2005), 9 vom: 08. Sept., Seite 1379-91 |
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Weitere Verfasser: | , , |
Format: | Aufsatz |
Sprache: | English |
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2005
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Evaluation Study Journal Article Research Support, Non-U.S. Gov't |