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Published in: Pattern Recognition and Image Analysis 2/2020

01-04-2020 | SPECIAL ISSUE

Automatic Detection of Hidden Regularities Based on the Study of Class Properties

Author: V. Rodchenko

Published in: Pattern Recognition and Image Analysis | Issue 2/2020

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Abstract—

The paper presents a method for automatically detecting in data practically useful and interpreted regularities for decision making. The method uses the compactness hypothesis and analyzes estimates for the mutual placement of class patterns in decision spaces. Class patterns are represented as cluster structures constructed from training sample data. The results of applying the method to solve a classification problem based on a real data set are demonstrated.

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Metadata
Title
Automatic Detection of Hidden Regularities Based on the Study of Class Properties
Author
V. Rodchenko
Publication date
01-04-2020
Publisher
Pleiades Publishing
Published in
Pattern Recognition and Image Analysis / Issue 2/2020
Print ISSN: 1054-6618
Electronic ISSN: 1555-6212
DOI
https://doi.org/10.1134/S1054661820020145

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