说明：  模式识别是对样本进行聚类，感知器算法是通过迭代计算修正权向量，使样本满足条件，从而实现分类。本程序对感知器算法进行了改进，当权向量不满足时，立即退出此轮计算，进入下一轮迭代，从而减少了计算次数。程序对代码有详细注释，对样本的个数和维数自动判别。
(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.)