资源列表
GA-PLS-toolbox
- GA-PLS遗传偏最小二乘法 用于数据挖掘或者是光谱特征变量筛选-GA-PLS Genetic Partial Least Squares
airPLS-2.0-matlab
- airpls自适应迭代重加权惩罚最小二乘算法背景扣除的matlab代码- airpls background subtraction matlab code
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.
kernel-kmeans
- 实现kernel k-means 聚类，可以处理非线性数据-Implement kernel k-means clustering, can handle nonlinear data
6s
- 6s大气传输模型以及用户手册还包括TM实例只需直接输入数据即可-atmosphere transport model,6S,which include manual and some example
s210
- 这是某一风电场从1965年到2006年的实测风速数据。希望对大家有帮助。-This is a wind farm 1965 to 2006 measured wind speed data. I hope everyone has to help.
python-quantitive
- python 分类算法量化投资 SVM 神经网络算法 沪深300指数-python classification algorithm quantitative investment
dimensionality-reduction-and-k-means
- 1.使用k-svd对数据进行稀疏表示，降维 2.使用k-means对上述数据聚类-1.use k-svd to reduce the dimensions of data 2.clster the data by k-means
Locally-Line-Regress
- 《斯坦福公开课》局部线性回归算法（PS1）。-Locally Line Regress
JBIRCH
- 本代码是关于数据挖掘的层次聚类算法的java编程实例，请勿用于商业用途上-The code is java programming examples on data mining hierarchical clustering algorithm, not for commercial use
randomForest_4.6-12
- 随机森林R语言安装包,可以安装到R语言中，直接调用使用-Random forest R language installation package can be installed to the R language, called directly use
RFR
- 好用的随机森林回归（RFR），也可用与分类。基于以编译的mex84，可实现bias-correction。回归预测精度较高-applicable random forrest regression，can also be used for classification。Regress with bias-correction 。can achieve high accuracy