Efficient Multi-View K-Means for Image Clustering
Nowadays, data in the real world often comes from multiple sources, but most existing multi-view K-Means perform poorly on linearly non-separable data and require initializing the cluster centers and calculating the mean, which causes the results to be unstable and sensitive to outliers. This paper...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2023) vom: 13. Dez.
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| Auteur principal: |
Lu, Han
(Auteur) |
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| Autres auteurs: |
Xu, Huafu,
Wang, Qianqian,
Gao, Quanxue,
Yang, Ming,
Gao, Xinbo |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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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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