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Pattern Recognition and Image Analysis
Erschienen 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

verfasst von: V. Rodchenko

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 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.
Vorheriger Artikel Context Modeling in Problems of Compressing Hyperspectral Remote Sensing Data
Nächster Artikel Decision-making Technology Based on Big Data

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Metadaten
Titel
Automatic Detection of Hidden Regularities Based on the Study of Class Properties
verfasst von
V. Rodchenko
Publikationsdatum
01.04.2020
Verlag
Pleiades Publishing
Erschienen in
Pattern Recognition and Image Analysis / Ausgabe 2/2020
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI
https://doi.org/10.1134/S1054661820020145

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