Work

Exploring the Possibility of Using Table Datasets as Objects in the Clustering Problem

Year: 2025

Type: article

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.

Source: Applied Mathematics and Fundamental Informatics

DOI: 10.25206/2311-4908-2025-12-1-4-10

Authors: S.V. ARTYUKH, O.N. KANEVA

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4411614991

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