clf_knn

PURPOSE

Create a k nearest neighbor classifier.

SYNOPSIS

function clf = clf_knn( p, k, dist_fn )

DESCRIPTION

 Create a k nearest neighbor classifier.
 
 INPUTS
   p       - data dimension
   k       - number of nearest neighbors to look at 
   dist_fn - [optional] distance function, squared euclidean by default

 OUTPUTS
   clf     - model ready to be trained

 DATESTAMP
   11-Oct-2005  2:45pm

 See also NFOLDXVAL, CLF_KNN_TRAIN, CLF_KNN_FWD

CROSS-REFERENCE INFORMATION

This function calls:

clf_knn_fwd Apply a k-nearest neighbor classifier to X.
clf_knn_train Train a k nearest neighbor classifier (memorization).
dist_euclidean Calculates the Euclidean distance between vectors [FAST].

This function is called by:

democlassify A demo used to test and demonstrate the usage of classifiers (clf_*)