test_lstm

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)

牛顿插值法,选择插值节点文件,有点小麻烦()

算法分析中的贪心算法的实现,并有完整的测试数据()

用Apriori算法挖掘出入侵检测数据集KDD99的数据关联性，从而检测出未知的攻击(Apriori algorithm is used to extract the data association of the intrusion detection data set KDD99, and the unknown attack is detected)

说明：  实现了无监督AP聚类 其优势在于不用知道聚类个数(The advantage of unsupervised AP clustering is that the number of clusters is not known)

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)

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)

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

脉动风速功率谱估计,并与标准风谱进行对比()

说明：  《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))