搜索资源列表
PR
- 基于随机游走的推荐算法，python实现。-Random walk based recommendation
randomforest-matlab
- 一个Matlab实现Random Forest的源代码，里面有使用说明和范例-Random Forest achieve a Matlab source code, there are instructions and examples
randomForest_4.6-7
- Random Forest在R软件上实现，可以更快速的分类，非常实用的方法-Random Forest on the R software, you can more quickly classified, very practical approach
rw
- 最大熵随机游走，在每一步中令熵率保持局部最大-The maximum entropy random walk, so entropy rate at each step to keep the local maximum
twgr-ccf-dd56c95d9dbe
- 典型相关随机森林算法，随机森林算法的改进-Typical correlation Random Forest algorithm
My_Kmeans
- java写的k-means，随机选择聚类中心-the realizationg of K-means clustering algotithm based on Java,with random selection of clustering centers
k
- k mean algorithm implementation using random cluster centroid
DecisionTreeAndRDF-master
- id3决策树算法和随机森林算法，讲的很清晰，步骤很详细-id3 decision tree algorithms and random forest algorithms, said very clearly, very detailed step
RandomForestaAdaBoost
- 随机森林，决策树以及adaboost分类器的java实现。随机森林和adaboost都基于决策树完成。-Random forests, tree and adaboost classifier java. Random Forest and adaboost are based on the decision tree is complete.
randint
- 随机分类：划分定标、预测样品的一种方法。-Random Category: Fallen scaling, a method of forecasting sample.
BasicELM
- 用一个简短的例子说明了随机权神经网络算法，算是对深度学习的入门的一个小的巩固-With a brief example illustrates the random weights neural network algorithm, considered for entry-depth study of a small consolidation
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
shujutianjiazaoseng
- 为点云数据自动添加随机噪声，可供点云数据处理者自动生成实验数据使用-The point cloud data automatically adding random noise to automatically generate test data to use for point cloud data processor
Sphere-Cover-Classifier-master
- 用matlab编程实现随机球覆盖集成分类器算法，首先在UCI数据集上得到很好的结果，然后在6个基因表达数据集通过一个案例说明。-Implement random ball cover integrated classifier algorithm using matlab programming, first get good results on UCI data set, and then in six gene expression data sets through a case des
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.
codes
- MATLAB实现随机森林，代码包放入toolbox文件夹，添加进matlab，自带数据，可以直接执行。(Achieve random forest based on MATLAB, a code package needs to put into the toolbox folder, add to the MATLAB by setting path. IT can be directly implemented with the data.)
GJUX1
- gauss c - gaussian random numbers, using the Ziggurat method()
MachineLearningLab-master
- 使用2种分类方法随机森林、SVM对数据进行分类(Classification of data using random forests and SVM)