Create a k nearest neighbor classifier. USAGE clf = clfKnn( p, k, metric ) INPUTS p - data dimension k - number of nearest neighbors to look at metric - [] distance function, squared euclidean by default OUTPUTS clf - model ready to be trained EXAMPLE See also NFOLDXVAL, CLFKNNTRAIN, CLFKNNFWD, CLFKNNDIST