分位数回归

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)

雷达数据处理的重要模型算法之一,该代码对imm算法的不同参数下进行了详细的仿真,(One of the important model algorithms for radar data processing, the code simulates the IMM algorithm in detail under different parameters.)

使用python实现谱减法对语音的降噪功能，代码包括语音的读取、降噪、输出保存(Spectral subtraction speech noise reduction python code)

生成随机数的算法,原书带的并不能直接使用,这是本人改的直接可用的()

数据挖掘算法，高效用项集挖掘算法，加权频繁项集挖掘，HUIMINER算法，源码中有详细注释

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.)

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)

利用python调用新浪api接口实现的新浪微博数据的挖掘，能够获取指定的经纬度地点的微博动态信息，还能够将其写入MySQL数据库中。

计算传递熵延迟时间的程序，根据延迟对应最大传递熵的原理(A program for calculating the delay time of transfer entropy)

说明：  分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)