Unsupervised Discovery of Subspace Trends
This paper presents unsupervised algorithms for discovering previously unknown subspace trends in high-dimensional data sets without the benefit of prior information. A subspace trend is a sustained pattern of gradual/progressive changes within an unknown subset of feature dimensions. A fundamental...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 10 vom: 01. Okt., Seite 2131-45
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| Auteur principal: |
Xu, Yan
(Auteur) |
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| Autres auteurs: |
Qiu, Peng,
Roysam, Badrinath |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2015
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S. |
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