THE SELECTION OF INFORMATIVE FEATURES
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2018, Vol 8, Issue 4
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.
Authors and Affiliations
MAMATOV N. S, YULDASHEV Z. B, BOBOYEV L. B, SAMIJONOV A. N
Keywords
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- EP ID EP430394
- DOI 10.24247/ijcseitroct20184
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