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Compressed kNN: K-Nearest Neighbors with Data Compression
The kNN (k-nearest neighbors) classification algorithm is one of the most widely used non-parametric classification methods, however it is limited due to memory consumption related to the size of the dataset, which makes them impractical to apply to large volumes of data. Variations of this method h...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514715/ https://ncbi.nlm.nih.gov/pubmed/33266949 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21030234 |
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