A regression model based on the nearest centroid neighborhood
The renowned k-nearest neighbor decision rule is widely used for classification tasks, where the label of any new sample is estimated based on a similarity criterion defined by an appropriate distance function. It has also been used successfully for regression problems where the purpose is to predic...
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| Weitere Verfasser: | , , |
| Format: | Artículo |
| Sprache: | en_US |
| Veröffentlicht: |
2018
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| Online Zugang: | https://doi.org/10.1007/s10044-018-0706-3 https://doi.org/10.1007/s10044-018-0706-3 |
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