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...
Sparad:
Huvudupphovsman: | |
---|---|
Övriga upphovsmän: | , , |
Materialtyp: | Artículo |
Språk: | en_US |
Publicerad: |
2018
|
Ämnen: | |
Länkar: | https://doi.org/10.1007/s10044-018-0706-3 https://doi.org/10.1007/s10044-018-0706-3 |
Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|
Lägg till första kommentaren!