rdqern

关于大数据的论文，对稀疏表示分类有很大的帮助，希望对初学者哟帮助

基于P-Q分解法的快速潮流计算,可用于实际系统()

BP网络VC代码 其实这就是成型的算法,估计好多人写过(BP network VC code is actually a molding algorithm, estimated that a lot of people have written)

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.)

数据挖掘算法，高效用项集挖掘算法，加权频发项集挖掘算法，HMINE算法，源码中有详细注释

粗糙集在进行属性约简时需要求其正域，此为求正域程序(Rough Set for Positive Domain)

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.)

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)

资源描述实现基本的pagerank算法，可实现传递阻尼参数和迭代次数。源文件从文件中读取

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)