A deterministic compression method reduces high-dimensional discrete data to low-dimensional continuous representations that are injective, approximately Gaussian, and preserve cluster centroid separation for efficient model-based clustering.
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Data compression for fast dimension reduction and clustering of high-dimensional discrete data
A deterministic compression method reduces high-dimensional discrete data to low-dimensional continuous representations that are injective, approximately Gaussian, and preserve cluster centroid separation for efficient model-based clustering.