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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...
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| Vydáno v: | Entropy (Basel) |
|---|---|
| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516823/ https://ncbi.nlm.nih.gov/pubmed/33286125 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22030351 |
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