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Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization

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Deep subspace clustering network has shown its effectiveness in hyperspectral image (HSI) clustering. However. there are two major challenges that need to be addressed: 1) lack of effective supervision for feature learning; and 2) negative effect caused by the high redundancy of the global dictionary atoms. In this article. https://mabelandfoxs.shop/product-category/swimming-shoes/
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