.

Huajuan Huang1, Yanbin Mei1, Xiuxi Wei2,3

  • 1College of Artificial Intelligence, Guangxi Minzu University, Nanning, 530006, China.

Scientific reports
|May 9, 2025
PubMed
概括

本研究介绍了一种新的深度多视图集群网络,使用对比学习来提高表示质量和集群分离性. 该方法有效地解决了表示退化问题,并增强了集群间的距离,以获得更好的集群性能.

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