apcluster.m

说明：  EMD经验模态分解算法程序，适合非线性，非平稳时间序列的处理(EMD empirical mode decomposition algorithm program)

Python数据预处理示例，包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)

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)

主要利用R语言进行广义加法模型，进行回归预测(This paper mainly uses R language to carry on the generalized additive model, and carries on the regression forecast)

通过包围盒法和K-D树法实现电云数据的邻域收索，邻域值可以自动设置(Point cloud data by bounding boxes and K-D tree search method income neighborhood, neighborhood values can be automatically set)

这是C语言中的难点的一些算法,其中包括用C实现的班级成绩管理,用C实现的排序算法等()

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.)

Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN)

1基于MapReduce的K-Means聚类算法， 2基于MapReduce的分类算法 3MapReduce的频繁项集挖掘算法(1 K-Means clustering algorithm based on MapReduce, 2 classification algorithm based on MapReduce 3 Mining Algorithm for frequent itemsets based on MapReduce)

牛顿插值法,选择插值节点文件,有点小麻烦()