FIXEDCC

Construction of fixed combiners

    V = FIXEDCC(A,W,TYPE,NAME,PAR)

Input
A	Dataset
W	A set of classifier mappings
TYPE	The type of combination rule
NAME	The name of this combination rule
PAR	Possible parameter for combiner defined by TYPE

Output
V	Mapping

Description

Define a mapping V which applies the combination rule TYPE to the  set of mappings W. The set of mappings W should be a parallel  combination (see MAPPINGS).

The TYPE of combining can be any of the following
average, min, max, mean, median, prod, vote,

Note that average is only possible for affine 2-class classifiers.

When W is a set of classifiers and A a dataset (possibly the result

of	B*W, where W is again a set of classifiers) then: V = FIXEDCC(W,[],TYPE) combines the mappings W with the comb. rule TYPE V = FIXEDCC(A,[],TYPE) computes the combining output for dataset A V = FIXEDCC(A,W,TYPE) computes the combining output for dataset A,  where W is trained using A

 EXAMPLES   See prex_combining.

See also

mappings, votec, maxc, meanc, medianc, minc, prodc, averagec,