Impact of similarity measures on clustering mixed data

Author:

Diop Abdoulaye1,El Malki Nabil1,Chevalier Max1,Peninou Andre1,Teste Olivier1

Affiliation:

1. Université de Toulouse, IRIT, France

Funder

Association Nationale de la Recherche et de la Technologie

Publisher

ACM

Reference35 articles.

1. Artur Abdullin and Olfa Nasraoui. 2012. Clustering Heterogeneous Data Sets. 1–8. https://doi.org/10.1109/LA-WEB.2012.27 Artur Abdullin and Olfa Nasraoui. 2012. Clustering Heterogeneous Data Sets. 1–8. https://doi.org/10.1109/LA-WEB.2012.27

2. Haneen Arafat Abu Alfeilat , Ahmad B A Hassanat , Omar Lasassmeh, Ahmad S Tarawneh, Mahmoud Bashir Alhasanat, Hamzeh S Eyal Salman, and V B Surya Prasath. 2019 . Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review. Big data 7, 4 (Dec. 2019), 221–248. https://doi.org/10.1089/big.2018.0175 Haneen Arafat Abu Alfeilat, Ahmad B A Hassanat, Omar Lasassmeh, Ahmad S Tarawneh, Mahmoud Bashir Alhasanat, Hamzeh S Eyal Salman, and V B Surya Prasath. 2019. Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review. Big data 7, 4 (Dec. 2019), 221–248. https://doi.org/10.1089/big.2018.0175

3. A k-mean clustering algorithm for mixed numeric and categorical data

4. Survey of State-of-the-Art Mixed Data Clustering Algorithms

5. Guilherme Alves , Miguel Couceiro , and Amedeo Napoli . 2019. Similarity Measure Selection for Categorical Data Clustering. (Dec . 2019 ). https://hal.archives-ouvertes.fr/hal-02399640 Guilherme Alves, Miguel Couceiro, and Amedeo Napoli. 2019. Similarity Measure Selection for Categorical Data Clustering. (Dec. 2019). https://hal.archives-ouvertes.fr/hal-02399640

Cited by 3 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. Similarity Measures Recommendation for Mixed Data Clustering;Proceedings of the 36th International Conference on Scientific and Statistical Database Management;2024-07-10

2. A hybrid similarity measure-based clustering approach for mixed attribute data;International Journal of Machine Learning and Cybernetics;2023-09-21

3. k-SubMix: Common Subspace Clustering on Mixed-Type Data;Machine Learning and Knowledge Discovery in Databases: Research Track;2023

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