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Article · International journal of computer science engineering and information technology research · January 1, 2018

The Selection of Informative Features

Narzillo Mamatov, TJPRC

Narzillo Mamatov
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Abstract

At present the most popular criteria of informative heuristic criteria are associated with the estimation of separability given classes and based on the fundamental pattern recognition compactness hypothesis: with an increasing distance between the classes improved their separability."Good" are those features that maximize the distance.Such heuristic criteria, although are widely used in solving practical problems of classification, but in theory are scarcely explored.

Face and Expression RecognitionStatistical Methods and ApplicationsData Mining and Machine Learning Applicationsfeature selectioninformative featuresclass separability

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