k nearest Neighbors clas= sifies or predicts quantitative value for new samples using voting/average = values of the nearest neighbors of the analyzed sample. Prior to model trai= ning all descriptors are normalized to standard deviation of 1 and mean val= ue of 0.
Algorithm parameters include
KNN neighbors
The specified number of nearest neighbors will be=
used, unless this value is 0. In the later case this number will be optimi=
zed in range from 1 to Max KNN neighbors.
Max KNN neighbors.
Specifies maximum number of nearest neighbor=
s for automatic determination of the KNN neighbors number.=