Wood-species identification based on terahertz spectral data augmentation and pseudo-label guided deep clustering

In order to address the problem that existing methods combining spectral data and machine learning for wood species identification rely on labeled samples, this study introduces unsupervised learning into the field of wood identification. It proposes a novel wood-identification model called DCVAE (d...

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