How to use knn classifier properly in this case

Im extracting features from some signal so i can use them as input for k nearest neighbor i already did some search about using knn to classify, some post suggested using matlab function

class = knnclassify(Sample,Training,Group,k,distance,rule)

for example: i have 2 array of extracted signal features. i use one as sample, and the other one as training sample = sampleFeatures(500x14) training = trainingFeatures(700x14)

i use them like this:

Class = knnclassify(sampleFeatures,trainingFeatures,Group,5,'euclidean','nearest');

what i want to know is, is this the right way to classify my data using knn. is there any other knn code in matlab which is far better than this one? maybe like more powerful one ill really appreciate it if someone can provide some useful link about knn classifier in matlab

thanks in advance sorry im new to this

Answer 1

[Walter Roberson]

No, knnclassify() is as powerful as knn gets, other than the fact that it does not have the ability to put in your own distance measure.