labnn
LABNN
Find indices of nearest neighbors
[LABELS,NND] = LABNN(TEST,TRAIN,K,PROC)
[LABELS,NND] = LABNN(TEST,CLASSF,K,PROC)
[LABELS,NND] = LABNN(TEST,K,PROC)
Input  TEST  Dataset with M objects, doubles or PRTools dataset  TRAIN  Dataset with N objects, doubles or PRTools dataset  CLASSF  A classifier trained by KNNC. Its training set will be used.  K  Neighbor number to be found  PROC  String indicating procedure to be used in the search, see below. 
Output  LABELS  Array with size MxK of indices pointing for each element of  TEST  to the K nearest neighbors in TRAIN.  NND  Vector of length M with nearest neighbor distances. 
Description In PROC one of the following routines can be defined
 'prtools' exact computation using PRTools
 'ann' approximate computation, needs the ANN Matlab Wrapper
 'kdtree' using Matlab's KNNSEARCH with kdtree
 'exhaustive' using Matlab's KNNSEARCH with kdtree (default)
In case TRAIN is omitted LABELS point to the nearest neighbors of TEST to itself by a leaveoneout procedure. This is defined only for PROC is 'prtools' only. See also
datasets, mappings, prmem, proxm, knnsearch, This file has been automatically generated. If badly readable, use the helpcommand in Matlab. 
