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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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Publicat a:Entropy (Basel)
Autors principals: Salvador–Meneses, Jaime, Ruiz–Chavez, Zoila, Garcia–Rodriguez, Jose
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2019
Matèries:
Accés en línia: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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