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The Hyper-spectral Image Compression Based on K-Means Clustering and Parallel Prediction Algorithm*

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In this paper. we propose a lossless compression algorithm for hyper-spectral images with the help of the K-Means clustering and parallel prediction. We use K-Means clustering algorithm to classify hyper-spectral images. and we obtain a number of two dimensional sub images. https://cosmeticssquadets.shop/product-category/scopes/
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