Selection of the most significant subset of features

Full Title

Pattern recognition > Analysing > Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation > Selection of the most significant subset of features

Classification Context

Section:

PHYSICS

Class:

COMPUTING OR CALCULATING; COUNTING

Subclass:

ELECTRIC DIGITAL DATA PROCESSING

Child Classifications

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• G06F 18/2111 by using evolutionary computational techniques, e.g. genetic algorithms
• G06F 18/2113 by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
• G06F 18/2115 by evaluating different subsets according to an optimisation criterion, e.g. class separability, forward selection or backward elimination