Selection of features based on relationships-Reference-Cited by-同舟云学术

Selection of features based on relationships

Published:2019-08-01 Issue:10 Volume:1260 Page:102008
ISSN:1742-6588
Container-title:Journal of Physics: Conference Series
language:
Short-container-title:J. Phys.: Conf. Ser.

Author:

Mamatov N,Samijonov A,Yuldashev Z

Abstract

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 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Link

https://iopscience.iop.org/article/10.1088/1742-6596/1260/10/102008/pdf

Reference15 articles.

1. Method of “Deltas” for building of informative features’ space;Fazilov;Uzbek Journal The Problem of Informatics and Energetic,2005

2. Working out the methods and algorithms for forming of informative features space with the help of k-types criteria;Mamatov;Uzbek Journal The Problem of Informatics and Energetic,2006

3. Working out the methods and algorithms for forming of informative features space with the help of k-types criteria;Mamatov;Reports of the Academy of Sciences of Republic of Uzbekistan,2007

4. Gradient method for forming a space of informative features based on uniform criteria with positive degree;Fazilov;Reports of the Academy of Sciences of Republic of Uzbekistan,2008

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