LOF

说明：  一种信号的处理方法，用于非平稳的信号处理(A signal processing method for nonstationary signal processing)

CHKS光滑孪生支持向量机程序, 采用CHKS光滑函数逼近无约束孪生支持向量机的不可微部分，得到一类光滑的孪生支持向量机。(CHKS smooth twin support vector machine program)

一个833分酒问题的求解,C++编写,简单易读,输出最佳路径解,()

Numerical Recipes Software 提供的算法子程序集,一共有上千种算法,部分算法可以在书店买到书()

算法分析中的贪心算法的实现,并有完整的测试数据()

bp网络实现认知无线电的检测和预测,从而达到了对频谱的分配(Bp network realizes the detection and prediction of cognitive radio, thus achieving the spectrum allocation.)

说明：  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.)

用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)

说明：  R语言构建贝叶斯网络，很实用的讲解和案例(Construction of Bayesian network with R language, a very practical explanation and case)

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.)