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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-09-01
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| Series: | Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2078-2489/9/9/234 |