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

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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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Authors and Affiliations

  1. Department of Modern Programming Technologies, Faculty of Mathematics and Informatics, Yanka Kupala State University of Grodno, 230023, Grodno, Republic of Belarus

    V. Rodchenko

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  1. V. Rodchenko
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Correspondence to V. Rodchenko.

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V. G. Rodchenko. Born 1960. Graduated Leningrad State University 1982. Received a PhD in engineering in 1999. Currently works as assistant professor at Department of Modern Programming Technologies at Grodno State University. Research interests: artificial intelligence, pattern recognition, data mining. Author of more than 70 articles.

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Rodchenko, V. Automatic Detection of Hidden Regularities Based on the Study of Class Properties. Pattern Recognit. Image Anal. 30, 224–229 (2020). https://doi.org/10.1134/S1054661820020145

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