A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance
The K-nearest neighbour classifier is very effective and simple non-parametric technique in pattern classification; however, it only considers the distance closeness, but not the geometricalplacement of the k neighbors. Also, its classification performance is highly influenced by the neighborhood si...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2018-09-01
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| Serie: | Information |
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| Accesso online: | http://www.mdpi.com/2078-2489/9/9/234 |
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