FDXD-CPML

holt-winters 三次指数平滑算法,时间序列预测算法，带测试数据及Demo(Triple Order Exponential Smoothing, Holt-Winters algorithm, time series prediction algorithm with test data and Demo)

聚类分析31省市的经济情况，以每个聚类簇的平均值来衡量省市经济的发展水平。(Cluster analysis of the economic situation of 31 provinces and municipalities, with the average value of each cluster to measure the level of economic development of provinces and municipalities.)

计算传递熵延迟时间的程序，根据延迟对应最大传递熵的原理(A program for calculating the delay time of transfer entropy)

SMOTE插值算法，补全数据的不平衡性。(SMOTE interpolation algorithm to complete the imbalance of data.)

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)

说明：  将数据集转换为拉普拉斯矩阵，然后利用基于图论的谱聚类进行聚类。拉普拉斯矩阵采用高斯核函数，全连接方法计算。谱聚类擅长处理高维数据或非凸数据集。(The data set is transformed into Laplacian matrix, and then clustered by spectral clustering based on graph theory. The Laplacian matrix is calculated by using the Gauss kernel function and the full connection method. Spectral clustering is good at dealing with high-dimensional or non-convex data sets.)

一个用python实现的PCA算法，并且给了简易素材(A PCA algorithm implemented in python, and gave a simple material)

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.)

一个很实用的采用Neville算法的拉格朗日插值程序,(A very practical Lagrange interpolation program using Neville algorithm,)

说明：  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.)