TESTPD

Test Parzen classifier for dissimilarity data

    [E,C] = TESTPD(D,H,PAR)
    [E,C] = D*TESTPD([],H,PAR)

Input
D	Dissimilarity dataset. Object labels are assumed to be the  true labels. Feature labels are assumed to be the labels of  the objects they are related to.
H	Desired smoothing parameter. Default: estimate by PARZENDDC
PAR	'loo' - leave-one-out option. This should be used if  the objects are related to themselves. If D is not square,  it is assumed that the first sets of objects in columns and  rows match.  'all' - use all objects (default).

Output
E	Estimated error
C	Dataset with confidences, size M x N, if D has size M x L and  the labels are given for N classes.

See also

datasets, knnd, testkd,