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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
- matlab随机森林,可用于图像融合,matlab在tutorial_ClassRF教程.-A tutorial for matlab now in tutorial_ClassRF.m
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-matlab
- random forest matlab code
randomforest
- describet random forest pdf
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
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
RandomForest111
- 实现随机森林算法（RandomForest）的matlab代码-Realization Random Forest algorithm (RandomForest) matlab code
randomforest
- opencv随机森林实现代码（字母识别）-random forests
randomforest-matlab
- 随机森林算法matlab源代码，来自随机森林提出者网站算法源码。-random Forest Matlab
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-The ID3 the+ random forest algorithm to generate decision forests voting mechanism for decision-making training data
RandomForest
- 机器学习随机森林源码。改变决策树的深度对比分类结果。对鸢尾花数据进行决策树分析-random forest
randomForest_4.6-12.tar
- 在机器学习中，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。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。 而 "Random Forests" 是他们的商标。 这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林(random decision forests)而来的。这个方法则是结合 Breimans 的 "Bootstrap aggregating" 想法
RandomForest
- 随机森林分类器算法的应用，包含分类例子和回归例子(Random forest algorithm matlab)
[www.17zixueba.com]10.RandomForest代码
- 随机森林代码 通过Python来实现的，效果还不错~~~(Random forest code through Python to achieve, the effect is not bad ~!)
randomforest-matlab
- 基于c运行库的matlab随机森林工具箱，特点运行快(Matlab random forest toolbox based on C runtime library features fast operation)