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At the center of pattern recognition are various algorithms designed to process and classify data. These can be broadly classified into statistical, structural and neural network-based methods.Pattern recognition algorithms can be categorized as: Statistical Pattern Recognition – Based on probabilistic models.; Structural Pattern Recognition – Uses relationships between features.
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