havz-bhlding

r语言中关联规则代码实现 运用arulesViz包和arules包中的apriori函数(Code Implementation of Association Rule)

用EM算法求解高斯混合模型并可视化，数据是男女生的身高分布，前提是初始化男女生身高各自的均值和方差和比例，然后由EM算法求解，男女生身高的均值方差，以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, variance and proportion of the male and female height, then the mean variance of the height of male and female is solved by the EM algorithm, so as to fit the data.)

牛顿插值法,选择插值节点文件,有点小麻烦()

主要针对行为识别，常用数据处理方法及分类，可视化 包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization Contain data sets)

一个xgboost实现的回归模型预测，数据集来源于kaggle的taxi竞赛(Regression model prediction based on a xgboost implementation)

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)

通过优化的k-means算法 采用了密度和优化评测函数实现了对Iris等数据集的聚类。 

隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)

该程序用于分类，用到的算法是Bagging and Knn 两种算法(This program is used for classification, the algorithm used is bagging and knn two algorithms)

主要利用R语言进行广义加法模型，进行回归预测(This paper mainly uses R language to carry on the generalized additive model, and carries on the regression forecast)