my_apriori

数据挖掘经典算法，频繁项集挖掘经典算法，TWOPHASE算法，源码中有详细注释

说明：  聚类评价指标的各种说明，非常详细，请仔细阅读。(Cluster evaluation indicators of various descriptions, very detailed.)

说明：  多种方法实现分位数回归,有完整原理解释，直接可用。(Multiple methods for quantile regression)

求解矩阵的最大最小特征值及对应的特征向量,以及计算条件数()

GWR能够实现地理加权回归计算，里面有GWR4操作说明，虽然是英文，但有图片介绍，很容易理解，是GWR模型入门的好工具，适合经济学、数据挖掘等人员使用(GWR can realize geographically weighted regression calculation, including GWR4 operation instructions. Although it is in English, it has pictures to introduce, and is easy to understand. It is a good tool for GWR model entry. It is suitable for personnel such as economics and data mining.)

用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)

胡清华邻域粗糙集源码，matlab源代码，方便可用(Hu Qinghua neighborhood rough sets source code, matlab source code, easy to use)

包含很多知名算法实现，支持向量机，决策树，粗糙集，贝叶斯分类器等，适合学术研究，短评论意见挖掘，文本分类等。

牛顿插值法,选择插值节点文件,有点小麻烦()

这段代码是层次聚类的Matlab实现代码( This code is hierarchical clustering Matlab implementation code)