Python数据预处理

用EM算法求解高斯混合模型并可视化，数据是男女生的身高分布，前提是初始化男女生身高各自的均值和方差和比例，然后由EM算法求解，男女生身高的均值方差，以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, variance and proportion of the male and female height, then the mean variance of the height of male and female is solved by the EM algorithm, so as to fit the data.)

复杂网络聚类系数的matlab编程代码,将复杂网络存储为矩阵,再对其matLab编程,可得到度分布图(The MATLAB programming code of clustering coefficient of complex network is used to store complex network as matrix, and then matLab programming is used to get the degree distribution graph.)

动画演示多种排序算法,包括冒泡排序,选择排序,插入排序,快速排序等,()

工程算法 这是一个很有用的工程数值算法集锦(Engineering algorithm this is a useful collection of engineering numerical algorithms.)

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)

说明：  用来作分类识别的KNN算法,非常好用非常好用(A very useful nearest neighbor algorithm)

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)

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.)

这是一本经典数值算法书,包含多种算法的理论,为编程者具有一定参考意义()

主要利用Python软件，利用KNN算法对垃圾邮件进行分类(This paper mainly uses Python software to classify spam mail by using KNN algorithm)