Ranking and selecting clustering algorithms using a meta-learning approach

Author:

de Souto Marcilio C. P.,Prudencio Ricardo B. C.,Soares Rodrigo G. F.,de Araujo Daniel S. A.,Costa Ivan G.,Ludermir Teresa B.,Schliep Alexander

Publisher

IEEE

Cited by 53 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 Survey on AutoML Methods and Systems for Clustering;ACM Transactions on Knowledge Discovery from Data;2024-02-27

3. Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques;IEEE Transactions on Neural Networks and Learning Systems;2024

4. AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11

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