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A Fast Exact k-Nearest Neighbors Algorithm for High Dimensional Search Using k-Means Clustering and Triangle Inequality
The k-nearest neighbors (k-NN) algorithm is a widely used machine learning method that finds nearest neighbors of a test object in a feature space. We present a new exact k-NN algorithm called kMkNN (k-Means for k-Nearest Neighbors) that uses the k-means clustering and the triangle inequality to acc...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3255306/ https://ncbi.nlm.nih.gov/pubmed/22247818 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2010.01.003 |
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