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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
chapter30
- 基于随机森林思想的组合分类器设计——乳腺癌诊断-Artificial Neural Networks
20170106RF_Matlab
- 随机森林指的是利用多棵树对样本进行训练并预测的一种分类器，包括两个方面：数据的随机性选取，以及待选特征的随机选取。-Random forest refers to the use of more than one tree to sample the training and prediction of a classifier, including two aspects: random selection of data, as well as the characteristics of
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)
Random forest
- 随机森林可以用来做分类，是分类效果较好的分类器。(Random forest can be used to classify, and it is a classifier with better classification effect.)
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)
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)