传递熵传递时间计算

这段代码是层次聚类的Matlab实现代码( This code is hierarchical clustering Matlab implementation code)

说明：  数据挖掘中的binning算法，用于数据预处理(Binning algorithm in data mining for data preprocessing)

说明：  聚类评价指标的各种说明，非常详细，请仔细阅读。(Cluster evaluation indicators of various descriptions, very detailed.)

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)

一种神经网络算法：极限学习机（ELM)，包括分类和回归，仿真验证无误，适合初学者练习(A data mining algorithm: limit learning machine (ELM), including classification and regression, simulation verification is unmistakable, suitable for beginners to practice)

一种特征提取方法：结合主元分析(PCA)和核主元分析（KPCA）的前馈神经网络（FNN）(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))

Python实现Adaboost算法，数据集为horseColic马疝气病数据集，准确率和sklearn库中的adaboost算法一样。(Python implementation adaboost algorithm, the data set is horseColic horse hernia disease data collection, accuracy and sklearn library adaboost the same algorithm.)

hosvd 迭代分解,很好用，是一个硕士论文里的代码(terative HOSVD algorithm to decompose tensor and find its Singular factors in each mode.)

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)

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)