Unit: 
SDL_math2 
Class: 
none 
Declaration: 
TKnnWMode = (kwmGauss, kwmAverage, kwmMedian, kwmLinear, kwmBiQuad); 
The type declaration TKnnWMode defines the available weighting modes used in the procedure EstimateByKNN.
The weighting modes cossrespond to the following interpolation schemes:
Weighting Mode 
Interpolation Scheme 
kwmGauss 
The estimated values are calculated by the weighted sum of the k nearest neighbors. The weights depend nonlinearly (Gaussian kernel) on the distance between the value to be estimated and the k nearest neighbors. 
kwmAverage 
The estimated value is equal to the average of the values of the k nearest neighbors. 
kwmMedian 
The estimated value equals the median of the values of the k nearest neighbors. 
kwmLinear 
The estimated values are calculated by the weighted sum of the k nearest neighbors. The weights depend linearly on the distance between the value to be estimated and the k nearest neighbors. 
kwmBiQuad 
The estimated value is obtained by a multiple linear regression which is based on the k nearest neighbors, the quadratic terms and the crossterms of all involved variables. 
