决策树模型的C++实现，可用来组成随机森林建立随机森林分类器做数据分类及图像分类，代码中有简单的测试样例-C++ implementation of decision tree model, to form a random forest is used to establish the random forest classifier for data classification and image classification, the code is simple test sample

实现图像分类，基于二元决策树模型,代码通俗易懂-Realization of image classification, based on the binary decision tree model straightaway code

本程序主要实现了cart决策树分类算法，供初学者学习和使用，代码中有样例，运行代码可以得到分类结果。-The program achieved a major cart decision tree classification algorithm, for beginners to learn and use the code in the sample, run the code can be obtained classification result.

决策树 cart 二叉树代码,简要算法与说明()