该压缩包包括两个文件：
1、main.m 将训练数据输入到决策树中，训练并在自动分好的测试数据上测试，并保存训练好的决策树 ctree.mat文件。
2、classification.m 加载训练好的决策树，使用决策树对新输入的数据进行分类。
该方法主要用于对SLIC超像素块进行分类，稍加修改可以用于其他数据分类。(The compression package consists of two files:
1. Main. m inputs training data into decision tree, trains and tests on automatically graded test data, and saves the trained decision tree ctree. mat file.
2. Classification. m loads the trained decision tree and uses it to classify the new input data.
This method is mainly used to classify SLIC super-pixel blocks, and slightly modified can be used for other data classification.)