rcitime__type

Matrix QR decomposition of digital analysis of the more difficult procedures, it is worth a look

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.)

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.)

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)

在linux 下C语言实现最近邻聚类算法，工程已经使用(near K neighbor cluster)

说明：  深度学习框架Keras入门资料，里面的代码包括课件和DEMO有利于新书入门学习，简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)

朴素贝叶斯分类的分类器实现，使用的是matlab语言。内含测试集和训练集，可直接运行，readme.txt文件中说明了数据格式

说明：  boxcox函数的python实现，引用该函数可将偏态分布调整为正态分布(Python implementation of box Cox function)

基于P-Q分解法的快速潮流计算,可用于实际系统()

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。