Abstract
A method for data compression with linear maps has been developed which is found to produce further reduction in overhead storage requirement, compression/decompression time, and clustering overhead as compared to the affine map method in certain cases. Algorithms have been developed for cluster minimization, cluster identification, and compression matrix calculation that may be applied with advantage in both the methods.
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