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Decouple-then-Align: Structural Consensus for Unsupervised Feature Selection
DOI:10.1016/j.inffus.2026.104889.png)
Abstract
En 中文
• DTA-UFS decouples graph preservation from the sparse-regression target.
• A semi-orthogonal matrix aligns spectral and pseudo-label representations.
• A conditional bound links consensus error to alignment and graph regularization.
Keywords:
Unsupervised feature selection
Procrustes alignment
Decouple-then-align
Embedding learning
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15.5
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4.3K
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2.7W
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