Description: 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.
To Search:
File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| 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
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| __MACOSX | 0 | 2019-05-30
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| __MACOSX\决策树训练及分类 | 0 | 2019-05-30
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| __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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