YTCVI47

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)

主要内容为R语言环境下的社交网络数据挖掘，附有源代码和数据，并包含案例所使用的PPT和相关文献。(The main content is under R locales social network data mining, with the source code and data, and includes cases PPT and related documentation used.)

频繁项集挖掘算法，能在大量局部特征中发现频繁空间配置，这些空间配置可以作为词语，加入到特征包中进行分类，实现图像分类。

基于matlab实现的一个在线迁移学习算法OTL,(Based on matlab to achieve an online migration learning algorithm OTL,)

这是在MATLAB上的SIMULINK中实现的雷达系统仿真实例,用户可以自己设定目标距离,方向等参数,()

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)

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.)

说明：  用于轴承大数据的故障诊断和数据挖掘，可将轴承的振动信息进行数组分析，获得预测模型，准确率较高(It can be used for fault diagnosis and data mining of bearing big data. It can analyze the vibration information of bearing by array and obtain the prediction model with high accuracy)

此为利用optics聚类方法剔除风电异常数据后，采用极限学习机验证的代码(optics data mining)

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)