A multi-scale information fusion-based multiple correlations for unsupervised attribute selection

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Pengfei Zhang, Dexian Wang, Zheng Yu, Yujie Zhang, Tao Jiang, Tianrui Li

Published: 01 Jan 2024, Last Modified: 08 Apr 2025Inf. Fusion 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The two-stage processing method is used to find the optimal attribute subset.•Several multi-scale information measures are defined.•The proposed information measures is designed as an unsupervised attribute selection algorithm.•This algorithm integrates multi-scale information and considers multiple interaction issues.