K-mean clustering algorithm is used to get the original training set,the clustering center is considered to be the original training set,and so reduces the redundance of samples.

• 该算法利用K均值聚类算法对训练样本集进行压缩,将聚类中心作为初始训练样本集,减少了样本间的冗余,提高了学习速度。