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.

Filename	Size	Update
决策树训练及分类	0	2019-05-30
决策树训练及分类\main.m	5220	2019-05-22
__MACOSX	0	2019-05-30
__MACOSX\决策树训练及分类	0	2019-05-30
__MACOSX\决策树训练及分类\._main.m	120	2019-05-22
决策树训练及分类\classfication.m	2266	2019-05-29
__MACOSX\决策树训练及分类\._classfication.m	120	2019-05-29

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