资源列表
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
Notes-of-Data-Cleaning
- R语言数据清洗包——dplyr，plyr和tidyr的说明及例子-R cleaning instructions and examples of language data packet dplyr, plyr and the tidyr
2d-clustered-se
- 2维度聚类标准误的计算代码，可用于多类回归模型-2 dimensional clustering standard errors of computing code, can be used for many types of regression models
multi-dimensional-particle
- 一维及二维数据粒子算法寻优,包括1）二维粒子算法参数寻优-替代网格寻优；2）一维数据粒子算法寻优（极值）。- One dimensional and two dimensional data particle algorithm optimization, including 1) two dimensional particle algorithm parameter optimization- alternative grid optimization 2) one dimens
Compact-2.2
- 数值聚合分析matlab源码，欢迎下载。- Aggregated analysis matlab source code, welcome to download.
PCA
- 主成分分析法PCA，matlab源码，欢迎下载。-Principal component analysis PCA, matlab source code, welcome to download.
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
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
bikmeans
- 用python实现的二分k-means聚类方法，比k-means效率更高-With half of k-means clustering method python achieve higher efficiency than k-means
dpa
- 2014年12月science新给出的dpa聚类算法的python实现-December 2014 science given new clustering algorithm python achieve dpa
svm
- 最经典的机器学习方法svm分类器的python实现-The most classic machine learning svm classifier python realization
knn
- 最简单的机器学习分类方法knn算法的python实现-The easiest method of machine learning classification algorithm python achieve knn