MF-DFA-master

一个833分酒问题的求解,C++编写,简单易读,输出最佳路径解,()

本问题是计算最长有序子序列的一个动态规划算法,效率为31MS()

主要是对二手房房价的因变量房价和其相关的因变量之间的关系进行简单的描述统计分析(Mainly for the second-hand house price dependent variable housing prices and its related variables of the relationship between the simple description of statistical analysis)

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)

说明：  通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)

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)

说明：  简单的LSTM进行预测，附带数据集方便测试(simple test of LSTM is used for prediction , and related datasets is attached in the file.)

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

这是在MATLAB上的SIMULINK中实现的雷达系统仿真实例,用户可以自己设定目标距离,方向等参数,()

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)