Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information
As one of the most widely used clustering techniques, the fuzzy k -means (FKM) assigns every data point to each cluster with a certain degree of membership. However, conventional FKM approach relies on the square data fitting term, which is sensitive to the outliers with ignoring the prior informati...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 5 vom: 22. Mai, Seite 2152-2162
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| Auteur principal: |
Zhang, Rui
(Auteur) |
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| Autres auteurs: |
Nie, Feiping,
Guo, Muhan,
Wei, Xian,
Li, Xuelong |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2019
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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