To alleviate the blindness of Linde-Buzo-Gray algorithm(LBG algorithm) while generating initial codebook, a new code word splitting method based on covariance of training vector is proposed.
针对LBG算法中初始码书生成存在盲目性的问题，提出了一种基于训练向量集合分量之间的相关性进行码向量分割的方法。
The cost of the training of support vector machine is too much, if we use thousands of support vectors directly, the computation time would be too long.
支持向量机的训练代价太大，如果直接把成千上万个特征向量直接用作训练，运算时间难以忍受。
In selecting vectors, the algorithm also USES the class label of training set and the judgment information of class mean vector.
在特征向量的选择中，本算法还用到了训练集的类别标签和类别平均向量的判别信息。
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