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The reported hybrid algorithm with software-hardware cooperation for prototype-based learning uses dynamic K-means to intelligently produce new cluster centers as reference patterns. The single nearest neighbor matching (K-nearest neighbor (KNN), K=3D1) with full-hardware architecture is used for efficient recognition. Large numbers of training instances are dynamically partitioned into k clusters...
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