Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures

Author:

Vukicevic Milan,Radovanovic Sandro,Delibasic Boris,Suknovic Milija

Publisher

Inderscience Publishers

Subject

Library and Information Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Cited by 17 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. Optimal Fuzzy Cluster Partitioning by Crow Search Meta-Heuristic for Biomedical Data Analysis;Research Anthology on Bioinformatics, Genomics, and Computational Biology;2023-12-29

4. ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis;Proceedings of the ACM on Management of Data;2023-06-13

5. Discretization of numerical meta-features into categorical: analysis of educational and business data sets;2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO);2022-05-23

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