Comparison of hierarchical cluster analysis methods by cophenetic correlation

DOI10.1186/1029-242X-2013-203zbMath1279.62128OpenAlexW2098181012WikidataQ59292745 ScholiaQ59292745MaRDI QIDQ394609

Nurhan Doğan, İsmet Doğan, Sinan Saraçli

Publication date: 27 January 2014

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/1029-242x-2013-203

zbMATH Keywords

distance measures

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (4)

An empirical comparison and characterisation of nine popular clustering methods ⋮ Benchmarking distance-based partitioning methods for mixed-type data ⋮ A family of distances for preference-approvals ⋮ PID: a PDF-induced distance based on permutation cross-distribution entropy

Uses Software

• Matlab

Cites Work

• A Comparison of Hierarchical Methods for Clustering Functional Data
• 391: A Monte Carlo Comparison of Six Clustering Procedures

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