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决策树cart，用matlab编写的，数据挖掘算法。,Decision tree cart, prepared using matlab, data mining algorithms.
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该源代码主要实现C4.5决策树算法，C4.5是对ID3算法的一种改进，它完善了ID3算法，补充了其算法的一点不足-The source code is the main achievement of C4.5 decision tree algorithm, C4.5 is an improved ID3 algorithm, which improved the ID3 algorithm, the algorithm added a little less than its
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对已有图像进行区域识别，画出决策树，并在测试图像上进行测试。-The image of the existing regional recognition, draw the decision tree, and the test images for testing.
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决策树C4.5和CART算法的m源码
-CART decision tree algorithm C4.5 and the source m
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为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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C4.5决策树matlab程序,本人找了很久才找到，绝对能用-C4.5 Decision Tree code
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此为机器学习算法中的决策树方法之一CART，也是决策树的基本算法-This is the machine learning algorithm, one of the decision tree method CART, is the basic decision tree algorithm
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决策树算法 经典的ID3算法 用于决策树规则学习等等 在规则学习以及分类中有重要的作用-classic decision tree mode for classification and rule learning
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自己编的一段小程序，绘制交通事故的预测决策树。-a small section of procedures for drawing traffic forecast decision tree.
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id3算法用MATLAB实现决策树分类器程序。-id3 decision tree！
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c4.5经典算法，实现决策树分类功能，可以对连续数值和离散数值实现很好的分类，并有剪枝功能-c4.5 classic algorithms, to achieve the decision tree classification, can be continuous and discrete numerical values to achieve good classification, and a pruning function
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这个是用来做决策树用的，很清楚的看出结构，可以看看哦-This is a decision tree used to make very clear to see the structure, you can see Oh
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从网络上搜集的决策树源码，包括C4_5、ID3、CART_iris三个源码，供大家一起学习研究。-Decision tree collected from the network source, including C4_5, ID3, CART_iris 3 source for study and research with everyone.
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决策树的matlab实现,包含训练和测试-Decision Tree matlab implementation
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c4.5分类器 支持向量机算法 文本分类 样本支持 核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function
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dession tree algorithm in matlab code
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使用matlab建立决策树，分析数据。决策过程中使用了matlab自带的建立决策树的函数。-Using decision trees to predict contact lens type.Training data file (lense.txt) and descr iption file (comments.txt).
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see matlab code for decision tree and knn algorithm , enjoy ,
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用MATLAB实现的决策树，附带有测试代码和数据集。-MATLAB implementation of a decision tree, comes with test code and data sets.
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C4.5决策树的MATLAB实现。内有英文和中文混合注释(C4.5 Decision Tree It has English and Chinese Both Zhu Shi)
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