搜索资源列表
matlab
- 随机森林模型matlab仿真代码，能流畅运行哦-Random forests model of matlab code, and can run smoothly
Random-Forest
- 有关随机森林的代码和源文件，代码需要使用使用fortran来搭配，自己配吧-About the random forest code and source files
random-forests
- 基于随机森林的烤烟香型分类研究，很好的将烤烟香型分类与随机森林算法结合在一起。-Classification of Tobacco flavor random forest, a good flavor of the flue-cured tobacco in conjunction with the random forest classification algorithm together.
RF_Class_C
- 随机森林训练测试模型，用于特征的分类与测试-Random Forest model training tests
RF_Reg_C
- 随机森林训练测试模型，用于矩阵的线性回归算法-Random Forest model training tests
RandomForest_matlab
- 随机森林是一个包含多个决策树的分类器， 并且其输出的类别是由个别树输出的类别的众数而定-Random Forest is a decision tree classifier comprising a plurality, and its output is the category number by individual trees all output categories may be
Random_Forest
- 随机森林，matlab程序编写，用于分类和回归-Random Forests, matlab programming for classification and regression
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
adaboost-and-rbf
- 随机森林算法在图像特征分类回归中的应用，通过结合神经网络进行更好的特征数据处理-Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing
RF_Reg_C
- 随机森林算法的matlab代码，这里旨在给初学者研究的随机树回归算法-Random forest algorithm Matlab code, aimed at beginners study a random tree algorithm
randomforest-matlab
- 对随机森林提供基础代码，提供随机森林的基础编辑程序-Random Forests provide the basis for the code to provide basic editing program random forests
track
- 该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法-The program is my many years of experience and code,
src
- 机器学习算法-随机森林的java实现，可以作为入门使用-Machine learning algorithms- random forests to achieve the java can be used as entry
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.
MyFrandomforest
- 随机森林算法，用来训练检测器的决策树。行人跟踪的一种常用算法-Random Forest algorithm is used to train the detector tree. A common pedestrian tracking algorithm
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
source
- 对两个数据集分别建立决策树，并运用自适应算法和随机森林，并验证准确率-Of the two data sets were established decision tree, and the use of adaptive algorithms and random forest, and verify accuracy
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
statistics_soilclass
- 随机森林算法的一个分类器，对随机森林得到的分类结果进行投票，选择最高概率的类别作为最终的投票结果。使用于土壤图斑分解，精细数字土壤制图。-Random Forest algorithm of a classifier, random forest classification results obtained to vote to choose the highest probability of category as the fin