function label = knnr(sampledata, testdata, k)
% KNNR	K-nearest neighbor rule for classification
%	LABEL = KNNR(SAMPLE, INPUT, K)
%	SAMPLE: data set (last column: desired class)
%	INPUT: input (feature) matrix, with each row being the values
%		of a specific feature
%	K: the "k" in k nearest neighbor
%	LABEL: KNNR output
%
%	Note that the output label of the SAMPLE is assumed to take
%	the values from 1 to n, where n is the number of classes.