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Tensor-based discriminative multi-graph embedding for dimensionality reduction of medical hyperspectral images
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DOI：10.1016/j.optlastec.2026.115476.png)
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Abstract
En 中文
• A tensor-based discriminative multi-graph method for MHSI dimensionality reduction. • Enhanced intra-/inter-class and local graphs improve discriminative learning. • Superior OA, AA, and Kappa on three real medical hyperspectral datasets.
Keywords:
Tensor-based method
Discriminative multi-graph
Dimensionality reduction
Medical hyperspectral images
Feature embedding
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