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Identifying Effective Algorithms and Measures for Enhanced Clustering Quality: A Comprehensive Examination of Arbitrary Decisions in Hierarchical Clustering Algorithms

Crossref DOI link: https://doi.org/10.1007/s00357-025-09506-5

Published Online: 2025-03-15

Published Print: 2025-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Behzadidoost, Rashid

Izadkhah, Habib https://orcid.org/0000-0001-7595-8350
Funding

Funding for this research was provided by:

University of Tabriz (3818)
License Information

Text and Data Mining valid from 2025-03-15

Version of Record valid from 2025-03-15
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Article History

Accepted: 5 March 2025

First Online: 15 March 2025

Declarations

:

: This research does not contain any studies with human participations or animals performed by any of the authors.

: The authors declare no competing interests.

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