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Weighted Mutual Information for Aggregated Kernel Clustering
Background: 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 technique that util...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516823/ https://www.ncbi.nlm.nih.gov/pubmed/33286125 http://dx.doi.org/10.3390/e22030351 |