AP聚类算法和案例

ap算法完成ap聚类操作 需要输入参数为数据集 偏向参数 输出结果为聚类数目(The AP algorithm completes the AP clustering operation, the input parameter is the data set bias parameter, and the output result is the number of clusters)

说明：  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.)

说明：  用python 做的网络数据爬虫，爬取淘宝数据，并分析。(Use Python to do the network data crawler, crawl the Taobao data, and analyze.)

利用python调用新浪api接口实现的新浪微博数据的挖掘，能够获取指定的经纬度地点的微博动态信息，还能够将其写入MySQL数据库中。

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.)

说明：  隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)

数据挖掘经典算法，频繁项集挖掘经典算法，FPGROWTH算法，源码中有详细说明

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,()

r语言中关联规则代码实现 运用arulesViz包和arules包中的apriori函数(Code Implementation of Association Rule)

一种特征提取方法：结合主元分析(PCA)和核主元分析（KPCA）的前馈神经网络（FNN）(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))