Adaptive dictionary and structure learning for unsupervised feature selection

作者：

Highlights：

• We propose a feature selection method named Adaptive Dictionary and Structure Learning (ADSL).

• Our method adaptively updates the sparse dictionary and the manifold structure of the data at the same time.

• By equipping matrix completion, our method is also able to process incomplete datasets.

摘要

•We propose a feature selection method named Adaptive Dictionary and Structure Learning (ADSL).•Our method adaptively updates the sparse dictionary and the manifold structure of the data at the same time.•By equipping matrix completion, our method is also able to process incomplete datasets.

论文关键词：Unsupervised feature selection,Adaptive sparse dictionary learning,Adaptive manifold learning,Matrix completion

论文评审过程：Received 5 September 2021, Revised 17 February 2022, Accepted 9 March 2022, Available online 24 March 2022, Version of Record 24 March 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102931