AVERAGEC

Combining of linear classifiers by averaging coefficients

    W = AVERAGEC(V)
    W = V*AVERAGEC

Input
V	A set of affine base classifiers.

Output
W	Combined classifier.

Description

Let V = [V1,V2,V3, ... ] is a set of affine classifiers trained on the same  classes, then W is the average combiner: it averages the coefficients of the  base classifiers, resulting in a new affine classifier. This might also be  used as A*[V1,V2,V3]*AVERAGEC, in which A is a dataset to be classified.

The base classifiers may be combined in a stacked way (operating in the same  feature space by V = [V1,V2,V3, ... ] or in a parallel way (operating in  different feature spaces) by V = [V1;V2;V3; ... ].

See also

mappings, datasets, votec, maxc, minc, medianc, prodc, averagec, stacked, parallel,

Example(s)