kacmp

说明：  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)

人工智能中,经典的基于小波变换的图像处理和图像去噪的解决办法,可下载后观摩使用(In artificial intelligence, the classical image processing and image denoising based on wavelet transform can be downloaded and used)

基于人工蚁群的的改进Kmeans,进行了改进，效果较好(Based on the improvement of artificial ant colony, Kmeans have been improved and the effect is better)

可以用黄金分割和斐波那契算法实现优化,只要改变相应的参数就可以用了(You can use the golden section and the Fibonacci algorithm to optimize, just change the corresponding parameters.)

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.)

通过包围盒法和K-D树法实现电云数据的邻域收索，邻域值可以自动设置(Point cloud data by bounding boxes and K-D tree search method income neighborhood, neighborhood values can be automatically set)

通过Python对妹子图网站的图片集进行爬取(Crawling the collection of images on the sister map site via Python)

1基于MapReduce的K-Means聚类算法， 2基于MapReduce的分类算法 3MapReduce的频繁项集挖掘算法(1 K-Means clustering algorithm based on MapReduce, 2 classification algorithm based on MapReduce 3 Mining Algorithm for frequent itemsets based on MapReduce)

工程算法 这是一个很有用的工程数值算法集锦(Engineering algorithm this is a useful collection of engineering numerical algorithms.)

自动生成Excel表格，包括测量系统分析MSA GR&R--均值极差法 ,方差分析，均值极差(Automatic generation of Excel tables, including measurement system analysis MSA GR&R - mean extreme difference method, variance analysis, mean extreme difference)