PARZENDDC

Parzen density based classifier for dissimilarity data

   [W,H] = PARZENDDC(D)
   W = PARZENDDC(D,H)

Input
D	Dissimilarity dataset
H	Smoothing parameters (optional; default: estimated from D)

Output
W	Trained Parzen classifier
H	Smoothing parameters, estimated from the data

Description

Just implemented for a square dissimilarity matrix D

See also

datasets, mappings, knndc, parzend_map,