Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis

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Zhongwei Huang, Jianqiang Li, Jun Wan, Jianxia Chen, Zhi Yang, Ming Shi, Ran Zhou, Haitao Gan

Published: 2025, Last Modified: 28 Feb 2026Appl. Soft Comput. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We introduce multiple index matrices to mitigate the interference caused by missing samples during the calculation process.•The proposed method integrates low-dimensional consensus representation and similarity learning.•The corrected similarity matrix is used to compute the missing data in the corresponding view.•Experimental results show that our method has the best performance.