数据挖掘 Binning算法

说明：  PCA 数据降维 PTYTHON 数据分析/挖掘(PCA dimensionality reduction data mining/analysis)

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)

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)

利用python进行数据分析，英文书籍，从pandas库的数据分析工具开始利用高性能工具对数据进行加载、清理、转换、合并以及重塑；利用matpIotlib创建散点图以及静态或交互式的可视化结果；利用pandas的groupby功能对数据集进行切片、切块和汇总操作；处理各种各样的时间序列数据。(Starting from the data analysis tools of pandas database, high performance tools are used to load, clean, transform, merge and remodel data; scatter plots and static or interactive visualization results are created by matpIotlib; data sets are sliced, sliced and aggregated by pandas group by function; and various operations are processed. Time series data.)

说明：  分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

FDTD three-dimensional CPML

在linux 下C语言实现最近邻聚类算法，工程已经使用(near K neighbor cluster)

三次样条插值的C语言算法,但是总是数据溢出()

机器学习 数据挖掘 数值算法 人工智能 全英文教材(python machine learning data snooping)

二进制粒子群优化算法pso,主程序：swarmpso m 它包括以下子程序： 1 　初始化：swarminit m 2 　适应值计算函()