PCA

插值抽取的内容,数字变频用, 分享了,请高手完善指教,()

PCA源程序，主元分析源程序，可以用于变量的特征提取(PCA source code, principal component analysis source, can be used for variable feature extraction)

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

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)

分而治之方法与软件设计的模块化方法非常相似,为了解决一个大的问题,可以： 1) 把它分成两个或多个更小的问题； 2) 分别(The divide-and-conquer approach is very similar to the modular approach to software design. To solve a big problem, you can: 1) divide it into two or more smaller problems; 2))

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)

求解矩阵的最大最小特征值及对应的特征向量,以及计算条件数()

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.)

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：  一种信号的处理方法，用于非平稳的信号处理(A signal processing method for nonstationary signal processing)