大数据挖掘，随机森林算法，可用于分类，特征向量选择等等。(random forest ,data minning)

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.)