PE_KNNC

K-Nearest Neighbor Classifier for PE spaces

    [W,K,E] = PE_KNNC(A,K)
    [W,K,E] = PE_KNNC(A)

Input
A	PE dataset
K	Number of the nearest neighbors (optional; default: K is  optimized with respect to the leave-one-out error on A)

Output
W	k-NN classifier
K	Number of the nearest neighbors used
E	The leave-one-out error of the KNNC

Description

Computation of the K-nearest neighbor classifier for the PE dataset A.

Warning: class prior probabilities in A are neglected.

See also

mappings, datasets, knnc, pe_em,