资源列表
pachongBDTB
- Python 爬去百度贴吧中一个贴子的内容，运用Urllib2和re模块，并对爬取的内容进行修改，去掉网页中的各种标签。-Python crawls the contents of a post in Baidu Post Bar, using Urllib2 and re modules, and crawl the contents of the amendment, remove the various pages of the label.
newTimeCausality_Sanqing
- 用于计算胡三庆教授提出的信因果关系的函数，直接使用即可-can be used to calculate the new causality which proposed by Prof.Hu
k-means
- K均值算法，将数据矩阵命名为data，设置聚类簇个数k，可对多维数据进行聚类。-K mean algorithm, the data matrix is named data, set the number of clusters K, can be used to cluster the multi-dimensional data.
kmeans
- 最简单易懂的聚类方法，用python实现k-means对数据的聚类-The most straightforward clustering method, using python to achieve k-means clustering of data
test3
- PYTHON编写，网络小爬虫，用于爬取某网站书籍图片-network crawler
FCMCluster
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点
Top10
- 推荐系统 简单top算法 python编程函数-Recommended system is simple arithmetic top
KNN
- K近邻算法的python代码，针对婚恋网站调查数据-the python code especially for k-nearest algorithm on the condition of wedding data
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法，通过该例子可以掌握K近邻算法，是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
Example-of-BL-Model
- 金融工程中Black-Litterman模型的R语言代码+案例-Financial engineering R Language Black-Litterman model code+ Case
treePlotter
- 决策树根据信息增益对数据进行分类，并且构造树的结构，输出结果易于理解-Decision tree based on information gain to classify the data, and construct the structure of the tree, the output result is easy to understand
CCE
- 周志华多标记学习代码 属性约简以及代价敏感测试-Zhou Zhihua multi-label learning codes