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Updated: Sep 15, 2025

Basics of Multivariate Analysis in Neuroimaging Data
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Published on: July 24, 2010

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一个不完整的多视图集群方法,考虑基于一致性的缺失数据恢复.

Zhuowen Li1, Hongmei Chen1, Biao Xiang1

  • 1School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China; National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, 611756, China; Engineering Research Center of Sustainable Urban Intelligent Transportation, Ministry of Education, Chengdu, 611756, PR China; Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, 611756, PR China.

Neural networks : the official journal of the International Neural Network Society
|July 17, 2025
PubMed
概括

本研究介绍了一种新的不完整的多视图聚类算法,可靠地恢复丢失的数据,并通过保持视图间的一致性来优化聚类. 该方法通过对准地方结构和适应性加权观点来提高性能.

关键词:
一致性信息 一致性信息数据重建数据重建不完整的多视图集群.低级别的代表性低级别的代表性

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