资源列表
cf_matrix-decomposition
- 现在比较常用的一种给予举证分解的协同过滤算法，用于个性化推荐-Now more commonly used as a collaborative filtering algorithm decomposition give evidence for personalized recommendation
cf
- 现在比较常用的一种传统的协同过滤算法，用于个性化推荐 最基础的-Now more commonly used as a traditional collaborative filtering algorithms for the most basic personalized recommendation
RF
- 在机器学习中，随机森林由许多的决策树组成，因为这些决策树的形成采用了随机的方法，所以叫做随机森林。-In machine learning, Random Forests decision tree composed of many, because of the formation of these decision trees using random method, so called Random Forest.
svd
- 奇异值分解在某些方面与对称矩阵或厄米矩阵基于特征向量的对角化类似。然而这两种矩阵分解尽管有其相关性，但还是有明显的不同。-Singular value decomposition in some respects symmetric matrix or Hermitian matrix based on a similar feature vectors diagonalization. However, the two matrix decomposition in spite of its
premstepfcm
- IT IS IMPLEMENTATION FCM IN STEP WISE.
arbitrage
- 基于沪深300的期现套利，原理是基于期现基差-Based on the Shanghai and Shenzhen 300 arbitrage, the principle is based on the difference between current group
usercf
- 基于用户的协同过滤算法(Python实现) ,很好的学习协同过滤算法的资料-User Based Collaborative Filtering
selenium_sina_text
- python 写的爬虫 可以爬取新浪微博wap端的内容，包括用户发表的微博内容，时间，终端，评论数，转发数等指标，直接可用-write python reptile You can crawl content Weibo wap side, including micro-blog content published by users, time, terminal, Comments, forwarding numbers and other indicators, directly
semi-supervised-cluster-algorithm
- 半监督聚类是利用少量的标记数据提高聚类算法的性能，文中综述了半监督聚类算法的若干进展-Semi supervised clustering is a method to improve the performance of clustering algorithm by using a small amount of labeled data,Some advances about semi supervised clustering algorithms are reviewed in thi
R-3.3.1
- 距离判别法（通过计算待测点到各个分类的距离，在根据计算出距离的大小，进行判别该待测点属于那个分类）-discriminant distance
emailSpam.tar
- 垃圾邮件识别的简单代码，使用python编写，含有测试用例-Simple code spam detection using python write, containing test cases
LDA
- python数据分析与数据挖掘 chapter15-python data analysis and data mining chapter15