matlab机器学习中用于聚类，适用于样本数量相对较少的情况。-matlab machine learning for clustering, applies to a relatively small number of samples.

用于训练人头分类器的正样本和负样本数据库；训练可使用opencv自带的分类器-Positive samples and negative samples database used to train the head classifier training can use the built-in classifier opencv

利用中科院计算所开发的graphlite图运算系统，实现最大匹配图算法，内有说明README，请详细阅读。且带有测试样本生成脚本-The use of CAS Institute of Computing developed graphlite FIG computing systems to achieve maximum matching graph algorithms, there are instructions README, please read. And the test sa