Open AccessSelection of features based on relationships
Author(s) -
N. Mamatov,
Samijonov Abdurashid,
Z. M. Yuldashev
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1260/10/102008
Subject(s) - heuristic , selection (genetic algorithm) , task (project management) , artificial intelligence , computer science , machine learning , pattern recognition (psychology) , data mining , engineering , systems engineering
At present the most popular criteria are of informative heuristic criteria associated with the estimation of separability given classes and based on the fundamental pattern recognition compactness hypothesis: with increasing distance between the classes improved their separability. “Good” are those features that maximize the relationship. Such heuristic criteria, although are widely used in solving practical problems of classification, but in theory are scarcely explored. At present, the method of selecting informative features, taking into account the relationships of features based on heuristic criteria, has not been developed. The report considers this task.