A general framework for implementing distances for categorical variables-Reference-Cited by-同舟云学术

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A general framework for implementing distances for categorical variables

Published:2024-09 Issue: Volume:153 Page:110547
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Velden Michel van de,D’Enza Alfonso Iodice,Markos Angelos,Cavicchia Carlo^ORCID

Publisher

Elsevier BV

Reference22 articles.

1. Do all roads lead to rome? Studying distance measures in the context of machine learning;Blanco-Mallo;Pattern Recognit.,2023

2. An Introduction to Statistical Learning: With Applications in Python;James,2023

3. Finding Groups in Data: an Introduction to Cluster Analysis;Kaufman,1990

4. Modern Multidimensional Scaling: Theory and Applications;Borg,2005

5. Understanding Biplots;Gower,2011

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multicriteria Model-Agnostic Counterfactual Explainability for Classifiers;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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