| KNNRULE | |
Creates K-nearest neighbours classifier.
Synopsis:
model=knnrule(data)
model=knnrule(data,K)
Description:
It creates model of the K-nearest neighbour classifier.
Input:
data.X [dim x num_data] Prototypes (training) data.
data.y [1 x num_data] Labels of training data.
K [1x1] Number of the nerest neighbours (default 1).
Output:
model [struct] Model of K-NN classifier.
.X = data.X.
.y = data.y.
.K = K.
.num_data [1x1] number of prototypes.
.fun [string] Contains 'knnclass'.
Example:
data=load('riply_trn');
model=knnrule(data,1);
figure; ppatterns(data); pboundary(model);
See also
KNNCLASS.