搜索资源列表
RandomForest
- JAVA的一个程序，是分类算法中的判定树的一部分。-JAVA a process, the classification algorithm of decision tree part.
RandomForest
- 随机森林论文作者写的随机森林代码，采用matlab混合编程，需要安装Fortran compiler-An interface to the random forest algorithm (version 3.3) written by Leo Breiman and Adele Cutler. This tool is for windows MATLAB R13 only
randomForest_4.5-36
- 随机森林分类器 可以实现分类 适合初学者学习参考-Neural network classifiers can be used to classify information for beginners to learn
Windows-Precompiled-RF
- matlab 的随机森林代码，很不错，学习rf必备-matlab code for random forests, very good
89346509RandomForestMatlabVersion
- 這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。-This is a Matlab (and Standalone application) p
randomforest
- 实现了基于自举法和角色数算法的随机森林算法-Implemented based on the number of bootstrap method and the role of the random forest algorithm algorithm
RandomForest
- ID3决策树+随机森林算法生成决策森林，采用投票机制进行决策；有训练数据aaa和测试数据bbb；非常适合机器学习的初学者-The ID3 the+ random forest algorithm to generate decision forests voting mechanism for decision-making training data the the aaa and test data bbb ideal for machine learning beginners
forest
- 随机森林分类方法的matlab代码实现，他是在bagging的基础上发展起来的-code of randomforest classiification
RandomForest
- Random Forest code for classification. Random Forest is an ensemble method to build classifier.
RandomForest
- 数据挖掘中random foreast算法的实现，使用java实现的-Data Mining in random foreast algorithm, implemented using java
Breimans-randomForest-
- 随机森林提出者的算法，matlab版本，有例子-Random Forest algorithm author, matlab version, there are examples
randomForest_4.6-6.tar
- R软件下的randomforest实现，可以帮助实现对数据的分类和预测，将数据分为几类，然后再根据决策树做预测-R randomforest
randomforest
- 随机森林的matlab算法实现，model是训练函数，tree是分类标签函数-Random Forest algorithm matlab, model is the training function, tree classification label function
RandomForest
- 随机森林算法是一个可用于数据分类和显现回归的一个相当不错的算法，可实现很多功能。这个算法只需要将所需文件放入一个matlab路径中即可实现-A pretty good random forests algorithm is an algorithm for data classification and regression show, can achieve a lot of functionality. This algorithm only to the desired file into
randomforest-matlab
- 基于随机森林思想的分类和回归算法，调试通过。-Random forests classification and regression algorithm based on the thought of.
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
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
RandomForest
- RandomForest随机森林实现+python(RandomForest+python3.6)
RandomForest_AdaBoost-master
- 随机森林、Adaboost算法实例+java代码(RandomForest and AdaBoost-master algorithm instance +java code)