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
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
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
SgdClassifier
- 随机梯度下降分类器。本实验的实验平台为eclipse，只需导入(import)即可运行。输出方式为控制台输出，能够提供的评价数据有test error, percision, recall以及F1-measure。-Stochastic gradient descent classifier. In this study, experimental platform for eclipse, just import (import) to run. Output of the console o
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.
DataMining_5
- java实现的决策树代码和随机森林以及Adaboost,里面有自带的数据集可以测试，结果和书上描述一样，亲测有效-DesicionTree，RandomForest and AdaBoost implemented by java,have been tested by myself.It can help those who want to learn data mining
CARTandRFclass
- 使用Decision Tree 实现cart和实现随机森林算法，比较好的学习工具，而且也能用，速度之前和别人讨论，被优化过-using decision tree trick to fullfil the CART and RandomForest ,it is good learing tool ,and ,practical use. it was optimize speed
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.
重抽样与自助法
- 当数据抽样于非正态分布时，如未知或混合分布、样本量过小、存在离群点、基于理论分布设计合适的统计检验过于复杂且数学上难以处理等情况，这时基于随机化和重抽样的统计方法可派上用场。(When the sampling data in non normal distribution, such as the unknown or mixed distribution, the sample size is too small, there are outliers, based on the theor
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.)
camfunicationpalette
- C++继承,随机数的使用,该程序是自动随机显示电脑配置()
hzrd_coded-svt
- 在2维矩阵中通过随机抽样选定占据的格点,再将占据的格点标号,相邻的格点为同一标号()