NMC

Nearest Mean Classifier

    W = NMC(A)
    W = A*NMC

Input
A	Dataset

Output
W	Nearest Mean Classifier

Description

Computation of the nearest mean classifier between the classes in the

dataset	A. The use of soft labels is supported. Prior probabilities are
not	used.

The difference with NMSC is that NMSC is based on an assumption of normal  distributions and thereby automatically scales the features and is  sensitive to class priors. NMC is a plain nearest mean classifiers that  is feature scaling sensitive and unsensitive to class priors.

See also

datasets, mappings, nmsc, ldc, fisherc, qdc, udc,