EXPLORING THE POSSIBILITY OF USING TABLE DATASETS AS OBJECTS IN THE CLUSTERING PROBLEM

The paper sets the task of clustering for tabular data sets as cluster objects. The cluster object is represented by a multidimensional random variable, the elements of which are features aggregated from the tabular data set. Cluster analysis of objects from OpenML and comparison of clustering results using different methods have been carried out. Explanatory graphics are provided.

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Publication Details

Journal
Applied Mathematics and Fundamental Informatics
Published
2025-01-01
DOI
https://doi.org/10.25206/2311-4908-2025-12-1-4-10
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
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article

EXPLORING THE POSSIBILITY OF USING TABLE DATASETS AS OBJECTS IN THE CLUSTERING PROBLEM

O.N. KANEVA, S.V. ARTYUKH
Applied Mathematics and Fundamental Informatics
Data Management and Algorithms
article

EXPLORING THE POSSIBILITY OF USING TABLE DATASETS AS OBJECTS IN THE CLUSTERING PROBLEM

O.N. KANEVA, S.V. ARTYUKH
article en

Abstract

The paper sets the task of clustering for tabular data sets as cluster objects. The cluster object is represented by a multidimensional random variable, the elements of which are features aggregated from the tabular data set. Cluster analysis of objects from OpenML and comparison of clustering results using different methods have been carried out. Explanatory graphics are provided.

Applied Mathematics and Fundamental InformaticsVol. 12(1)
Openalex Percentile: Top 83%
Data Management and Algorithms
DOIOpen Access PDFOpenAlex
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EXPLORING THE POSSIBILITY OF USING TABLE DATASETS AS OBJECTS IN THE CLUSTERING PROBLEM — O.N. KANEVA, S.V. ARTYUKH · Applied Mathematics and Fundamental Informatics (2025) | TGRS Research Map | TGRS