Abstract
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 distance. 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.
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References
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Mamatov NS Working out the methods and algorithms for forming of informative features space with the help of к-types criteria. Reports of the Academy of Sciences of Republic of Uzbekistan.-2007.-№4. pp 50–53
Fazilov SH, Mamatov NS Gradient method for forming a space of informative features based on uniform criteria with positive degree. Reports of the Academy of Sciences of Republic of Uzbekistan.-2008.-№2. pp 12–18
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Mamatov, N.S., Samijonov, A.N., Yuldoshev, Y., Khusan, R. (2020). Selection the Informative Features on the Basis of Interrelationship of Features. In: Pawar, P., Ronge, B., Balasubramaniam, R., Vibhute, A., Apte, S. (eds) Techno-Societal 2018 . Springer, Cham. https://doi.org/10.1007/978-3-030-16962-6_13
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DOI: https://doi.org/10.1007/978-3-030-16962-6_13
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