Evaluating Clustering Quality in Categorical Data: A Comparative Analysis and Novel Metrics

Authors

Weronika Łazarz
Agnieszka Nowak-Brzezińska (ORCID: https://orcid.org/0000-0001-7238-1170)

Institutions

University of Silesia in Katowice (PL)

Publication Details

Journal: Procedia Computer Science
Published: 2025-01-01
DOI: https://doi.org/10.1016/j.procs.2025.09.410
Primary Topic: Advanced Clustering Algorithms Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Evaluating Clustering Quality in Categorical Data: A Comparative Analysis and Novel Metrics

Weronika Łazarz, Agnieszka Nowak-Brzezińska

Jan 1, 2025

Procedia Computer Science

Advanced Clustering Algorithms Research

article

Evaluating Clustering Quality in Categorical Data: A Comparative Analysis and Novel Metrics

Weronika Łazarz, Agnieszka Nowak-Brzezińska

January 1, 2025article en

Abstract

No abstract available for this paper.

Procedia Computer ScienceVol. 270

University of Silesia in Katowice (PL)

Openalex Percentile: Top 83%

Advanced Clustering Algorithms Research

DOI Open Access PDF OpenAlex

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Evaluating Clustering Quality in Categorical Data: A Comparative Analysis and Novel Metrics — Weronika Łazarz, Agnieszka Nowak-Brzezińska · Procedia Computer Science (2025) | TGRS Research Map | TGRS