Classification of Characteristic Factors of Brain Functional Network Using Decision Tree

In order to explore the classification methods from imaging data, we propose establish feature by building a tree with characteristic factors of brain functional network aided calculating topology based on graph theory. By preprocessing data and modeling networks professional platform, get parameters as input C4.5 decision tree, then information gain ratio. The results show that prefers holistic characteristics quality characteristics. programming samples test, it is feasible extend characters learning processing multi-modal machine algorithms.