Using teacher images and machine learning method, an image direction classification model is built as a decision tree. Test results argued the validity of this method.
实验结果表明，系统所使用的轮廓线向量图像特征也能够较有效地应用于图像方向分类，而机器学习则能够有效地为之建立决策树分类模型。
The test results show that this method can describe the dynamic characteristic of data steam effectively, and the effect of classification is evident.
实验结果表明，该方法能对数据流进行有效的动态特征描述，分类效果明显。
The test results show that this method can describe the dynamic characteristic of data steam effectively, and the effect of classification is evident.
实验结果表明，该方法能对数据流进行有效的动态特征描述，分类效果明显。
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