Semi-supervised clustering ensemble based on genetic algorithm model
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17662-2.pdf
Reference36 articles.
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3. Strehl A, Ghosh, J (2003) Cluster ensembles – a knowledge reuse framework for combining multiple partitions. [J]. J Mach Learn Res (3):583–617
4. Li FJ, Qian YH, Wang JT, Liang JY (2015) Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method. In: International conference on machine learning cybernetics
5. Alexander Topchy WP, Jain AK (2004) A mixture model of clustering ensembles
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