搜索资源列表
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
RF_MexStandalone-v0.02-precompiled
- 随机森林代码，Matlab代码，很好的学习工具-Random Forest (Regression, Classification and Clustering) implementation for MATLAB (and Standalone)
Random-Forest-Matlab-Version
- 随机森林 MATLAB版算法，可以运行，能较好的实现分类算法，只是速度有点慢-Random forest MATLAB version of the algorithm can be run, better classification algorithms, but the speed is a little slow
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.
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
RF---MATLAB
- 转别人编写的随机森林的MATLAB 源代码，用于分类与回归，程序可以-Others write random forests of MATLAB source code, is used for classification and regression, the program can
random forest
- 文档包括两部分内容，一部分是Leo Breiman关于随机森林的介绍解释文档pdf，内有实例和分析，介绍的很清楚，是英文版，不过不是很难；第二部分是Leo Breiman的官方程序，从网站下载的，matlab版本。(The document includes two parts, one part is Leo Breiman on random forest introduced to explain the document PDF, there are examples and analy
random_forests_generic
- 随机森林的matlab版本,需要的朋友可以参考使用(random_forest_generic)
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)
Radom Forest[ok]
- 在matlab中随机森林算法的实现，随机森林算法是现在广泛用于分类和预测的机器学习最常见的算法之一(the code of 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.)
RandomForest_matlab
- 随机森林是一个包含多个决策树的分类器，通过matlab实现实现随机森林算法(Matlab implementation of random forest algorithm)
随机森林算法分类、回归
- 随机森林分类器，matlab写的，直接可以运行，不需要该任何东西，详细看readme和案例。-Random Forest classifier, matlab write, direct run, does not require that anything
Class_8_Code
- 决策与随机森林样例，matlab，简单的样例。(Decision making and random forest samples, MATLAB, simple examples)
matlab code
- MATLAB中随机森林分析，bp神经网络分析实例(Random forest analysis in MATLAB and example of BP neural network analysis)
RF_MexStandalone-v0.02
- 随机森林主函数文件，应用matlab可以进行分类处理(Random forest main function file, which can be classified by MATLAB)
randomforest-matlab
- 随机森林分类器的MATLAB代码，方便调用使用随机森林（RF）通过MATLAB平台(MATLAB Code of Random Forest Classifier)
Random-Forests-Matlab-master (2)
- 要说随机森林，必须先讲决策树。决策树是一种基本的分类器，一般是将特征分为两类（决策树也可以用来回归，不过本文中暂且不表）。构建好的决策树呈树形结构，可以认为是if-then规则的集合，主要优点是模型具有可读性，分类速度快。(In machine learning, a random forest is a classifier that contains multiple decision trees, and its output category is determined by the m
随机森林的matlab实现
- 随机森林的一个入门级历程，此例程可以带有稀缺数据集，让你使用训练集和测试集感受到随机森林的强大之处。随机森林的分类与回归，非常之强。秒杀神经网络，是一个人见人爱的算法。(Random forest is an entry-level process, this routine can have scarce data set, let you use training set and test set to feel the power of random forest. The classif
随即森林
- 这是随机森林的matlab程序包 random forest(Random forest package)