Optimized data fusion for kernel k-means clustering
This paper presents a novel optimized kernel k-means algorithm (OKKC) to combine multiple data sources for clustering analysis. The algorithm uses an alternating minimization framework to optimize the cluster membership and kernel coefficients as a nonconvex problem. In the proposed algorithm, the p...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 34(2012), 5 vom: 15. Mai, Seite 1031-9
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| Auteur principal: |
Yu, Shi
(Auteur) |
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| Autres auteurs: |
Tranchevent, Léon-Charles,
Liu, Xinhai,
Glänzel, Wolfgang,
Suykens, Johan A K,
De Moor, Bart,
Moreau, Yves |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2012
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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, Non-U.S. Gov't |
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