Pattern recognition, clustering samples, perception algorithm is iterative correction weight vector samples meet the conditions, in order to achieve the classification. The program improved perception algorithm in power vectors are not met immediately exit the current round of calculation, proceed to the next round of iteration, thereby reducing the number of calculations. The program code has detailed notes, and automatically determine the number of samples and number of dimensions.

PerceptronAlgorithm.m
call_PerceptronAlgorithm.m

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