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Weighted Mutual Information for Aggregated Kernel Clustering
<b>Background:</b> A common task in machine learning is clustering data into different groups based on similarities. Clustering methods can be divided in two groups: linear and nonlinear. A commonly used linear clustering method is K-means. Its extension, kernel K-means, is a non-linear...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2020-03-01
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| Colección: | Entropy |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/1099-4300/22/3/351 |
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