搜索资源列表
RandomForestCversion
- 组合学习算法的新方法--随机森林(Random Forest,RF),用于处理高维问题,可以得到满意的效果!-composition of the new learning algorithm methods -- random forests (Random Forest, RF) for the treatment of high-dimensional problem, it can be satisfied with the results!
randomForest_4.5-27.tar.gz
- 是基于linux系统的C++程序，是一个学习算法随机森林，希望对大家有用,Is based on the linux system C++ Process is a learning algorithm Random Forest, in the hope that useful
rotation_forest_A_New_Classifier_Ensemble_Method.z
- 论文提出了旋转森林算法，并将它与随机森林等其他机器前学习算法进行了比较-Rotating forest algorithm is proposed, and it and other machines and random forest learning algorithm were compared before
online-random-forests-master
- 在线随机森林算法的源码，用于分类模式识别有很好的效果，适用于linux系统下。-Online Random Forest algorithm source code, for classification pattern recognition have a good effect for linux system.
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
RandomForestCversion
- 使用C语言实现的机器学习算法随机森林算法源码-Using C language implementation of machine learning algorithm of random forest algorithm source code
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
data
- 随机森林算法的构造过程：1、通过给定的原始数据，选出其中部分数据进行决策树的构造，数据选取是”有放回“的过程，我在这里用的是CART分类回归树。 2、随机森林构造完成之后，给定一组测试数据，使得每个分类器对其结果分类进行评估，最后取评估结果的众数最为最终结果-Random Forest algorithm construction process: 1, by a given raw data, which part of the decision tree data structu
Ensemble-Learning
- 集成学习将若干基分类器的预测结果进行综合，具体包括Bagging算法和AdaBoost算法；还有随机森林算法，利用多棵树对样本进行训练并预测的一种分类器-Integrated learning integrates the prediction results of several base classifiers, including Bagging algorithm and AdaBoost algorithm and random forest algorithm, using a t
random-forest
- 随机森林算法,使用c/c++，可直接使用和研究-Random Forest algorithm, using c/c++, can be used directly and research
several-classification-algorithm
- 几种基于Matlab的分类算法研究（自组织神经网络，SOM神经网络，LVQ神经网络，决策树，随机森林算法）-Several classification algorithm based on Matlab research (self-organizing neural network, SOM neural network and LVQ neural network, decision tree, the random forest algorithm)
Cd
- matlab用于对图像特征的分类，随机森林算法是一类很好的算法(matlabrunRFrunRFunRFunRF)
集成学习
- 集成学习算法的学习和应用研究，随机森林等相关算法(Study and application of integrated learning algorithm)
Iris_RandomForest
- python鸢尾花（iris）数据分类程序举例，采用随机森林算法。(Python iris flower (IRIS) data classification program is used for example, and the random forest algorithm is used.)
RF_Class_C
- 在matlab中，运用随机森林算法来解决图像特征处理的问题。(In Matlab,the random forest method is used to solve the classification of image features.)
数据挖掘 R语言实战-代码
- 数据挖掘算法R语言实现，包括聚类、判别、集成学习、随机森林、神经网络、支持向量机等算法。(Data mining algorithm R language implementation, including clustering, discrimination, ensemble learning, random forest, neural network, support vector machines and other algorithms.)
Random_Forest
- 内涵PCA降维;SMOTE插值;t-SNE降维等算法的随机森林算法，以及鸢尾花数据集，有利于新手或者工程性实验借鉴~(Connotative PCA dimensionality reduction; SMOTE interpolation; t-SNE dimensionality reduction algorithms such as random forest algorithm, as well as iris data sets, is conducive to novice or
RandomForest_matlab
- 用matlab实现随机森林算法，里面附有说明文档，参数可调节(The implementation of stochastic forest algorithm with matlab, which has instructions and adjustable parameters)
xgboost算法源码
- xgboost比lr和随机森林都要准确的多，无论是KS还是AUC上来比较！
常用算法的代码
- 包括神经网络，决策树，随机森林，支持向量机等，利于初学者学习进步。