Feature subset selection and ranking for data dimensionality reduction
A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one at a time, by estimating the capability of each specified candidate feature subset to represent the overall features in the...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 29(2007), 1 vom: 16. Jan., Seite 162-6 |
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| Format: | Aufsatz |
| Sprache: | English |
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2007
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article |