数据挖掘中关联规则挖掘算法-apriori，的Python实现，代码中有测试样本-Data mining association rule mining algorithm-apriori, implementation of Python code in a test sample

聚类算法是应用于数据挖掘和模式识别中很重要的一种分析方法，ap是新提出的一种聚类算法，不需要事先指定聚合点的数目-Affinity Propagation (AP) clustering has been successfully used in a lot of clustering problems. However, most of the applications deal with static data.

ap算法完成ap聚类操作 需要输入参数为数据集 偏向参数 输出结果为聚类数目(The AP algorithm completes the AP clustering operation, the input parameter is the data set bias parameter, and the output result is the number of clusters)

ap聚类算法实现三维数据点的分类，demo为案例(AP clustering algorithm realizes the classification of data points, demo as a case.)