Tree classification method

Tree classification methodTree classification method
  1. Decision Tree Classification Method Based on Correlation Between Attributes

    一种基于关联性度量的决策树分类方法

  2. So the decision tree classification method was applied to the classification of all remote sensing images in the whole study area .

    以此为基础,将决策树分类方法应用到研究区的所有遥感影像的分类当中。

  3. In the rice mapping , both of the rice mapping methods , the supervised classification method based on Maximum Likelihood and the Decision Tree classification method has similar rice mapping efficiency and accuracy .

    水稻制图方法的研究结果表明,监督分类算法和决策树分类算法都能够从雷达影像中以相近的精度提取水稻分布信息。

  4. Test results show that compared with traditional similar methods , after optimizing the main procedures of decision tree classification method processing audit data , to a certain extent , the speed and accuracy of network security audit are improved .

    试验结果表明,相比于传统的类似方法,本文对决策树分类方法处理审计数据过程中的主要环节进行优化后,在一定程度上提高了网络安全审计的速度和准确率。

  5. By studying these existing discretization methods , an improved discretization method , which is easy to calculate for audit data , is proposed . Thirdly , audit data after preprocessing are analyzed by decision tree classification method .

    通过研究现有的离散化方法,提出一种改进的,适合审计数据的、计算量小的离散化方法。第三,采用决策树分类方法对预处理后的审计数据进行分析。

  6. Based on decision tree classification method , constructed classification tree model , to design an open-threshold classification method to achieve defects detection and classification . For three defects in polycrystalline silicon slice , using exclusion method to detect sequentially .

    最后构造出缺陷检测分类树模型,实现缺陷的检测分类,对多晶硅片的三种缺陷采用排除法依次检测。

  7. This D-S decision tree is a new classification method adapted to the uncertain data .

    实验结果表明D-S决策树分类算法能有效的对不确定数据进行分类。

  8. This D-S decision tree is a new classification method applied to uncertain data and shows good performance and can efficiently avoid combinatorial explosion .

    实验结果表明,D-S证据理论决策树分类算法能有效地对不确定数据进行分类,有较好的分类准确度,并能有效避免组合爆炸。