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In this paper, a clustering method using dictionary learning is proposed to group large medical databases. An approach grouping similar images into clusters that are sparsely represented by the dictionaries and learning dictionaries simultaneously via K-SVD is proposed. A query image is matched with the existing dictionaries to identify the dictionary with the sparsest representation using an Orthogonal...
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