ltlk4

说明：  利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果(The matlab program of clustering iris samples by K-means clustering, including source code, sample data and clustering results)

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

数据挖掘经典算法，频繁项集挖掘经典算法，FPGROWTH算法，源码中有详细说明

boxcox函数的python实现，引用该函数可将偏态分布调整为正态分布(Python implementation of box Cox function)

插值抽取的内容,数字变频用, 分享了,请高手完善指教,()

说明：  用python 做的网络数据爬虫，爬取淘宝数据，并分析。(Use Python to do the network data crawler, crawl the Taobao data, and analyze.)

说明：  从数据库获取车辆在一段时间内的所有行驶记录的相关数据，确定所需数据为GPS经纬度坐标和驾驶时长等，QB模型采用MDF的思想,其基本思想为:通过平均直接翻转距离函数定义两条轨迹之间的距离，两条轨迹需要具有相同的经纬度点数，具有相同点数的轨迹最大的优点是对轨迹距离成对计算，且相同轨迹之间具有更高的分辨率，对于轨迹聚类的结果有一定的优化。(Retrieved from the database cars all over a period of time, record the related data, determine the required data for the GPS latitude and longitude coordinates, and the driving time, QB model by adopting the idea of MDF, its basic idea is: flip directly by the average distance function definition of the distance between two trajectories, two tracks will have the same latitude and longitude points, and has the biggest advantages of the same points of trajectory track distance calculation in pairs, and has higher resolution, between the same trajectory for trajectory clustering results have certain optimization.)

用于数据自编码，非线性压缩，降维的一种方法；与PCA不同，pca为线性降维方式(Data auto encoding, nonlinear compression)

Python实现Adaboost算法，数据集为horseColic马疝气病数据集，准确率和sklearn库中的adaboost算法一样。(Python implementation adaboost algorithm, the data set is horseColic horse hernia disease data collection, accuracy and sklearn library adaboost the same algorithm.)

牛顿插值法,选择插值节点文件,有点小麻烦()