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用c++实现的决策树算法,windows环境下,希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.
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数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
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windows操作系统下的决策树分类算法工具包,经典的C4.5算法实现,功能巨强大!-windows operating system under the decision tree classification algorithm tool kit, the classical algorithm C4.5, functional Giant powerful!
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C4.5是决策树的经典算法
C4.5 归纳学习是完全自动的学
习算法,所需要做的是选取有用的特征,构建实例数据库供它学习-C4.5 decision tree is the classic C4.5 inductive learning algorithm is completely automatic learning algorithm, what needs to be done is to select useful features, build databases for i
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基于vc的决策树的分类算法是ID3算法的演变-vc on the decision tree classification algorithm is the evolution ID3 algorithm
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本程序是用c语言编写的基于决策树分类方法的数据挖掘算法,它对测试集进行分类,挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules
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决策树C45,用matlab编写的,数据挖掘算法。,Decision Tree C45, prepared by 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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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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his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
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quilan的决策树c4.5-r8的windows版本-quilan decision tree c4.5-r8 of the windows version
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C4.5是决策树的经典算法 C4.5 归纳学习是完全自动的学 习算法,所需要做的是选取有用的特征,构建实例数据库供它学习-C4.5 decision tree is the classic C4.5 inductive learning algorithm is completely automatic learning algorithm, what needs to be done is to select useful features, build databases for its e
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数据挖掘课中的一个算法c4.5决策树源码,只要有相应的测试文件就可以了-Data mining courses in a decision tree algorithm c4.5 source code, as long as the corresponding test file on it
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C4.5 is an algorithm used to generate a decision tree. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical class
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C4.5决策树源代码,直接是matlab源代码-C4.5 decision tree source code matlab source code is directly
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matlab实现决策树C4.5算法,首先利用训练数据创建决策树,再用测试数据对决策树进行剪枝。-C4.5 decision tree algorithm matlab realize, first use training data to create decision trees, and then test data for decision tree pruning.
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Quinlan的决策树程序C4.5(M语言编写)-the program for decision tree C4.5 purposed by Quinlan
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c4.5决策树批量预测代码,将GetData函数中fallDetect.cases改成想要预测的预测集的名字,在linux下用gcc编译,将main函数中的fallDetect.tree改成你自己的决策树模型的名字,使用前必须在同一目录下放有使用c4.5训练出来的决策树-c4.5 decision tree batch prediction code, the name changed to GetData function fallDetect.cases want to predict th
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C4.5是机器学习算法中的另一个分类决策树算法,它是基于ID3算法进行改进后的一种重要算法,相比于ID3算法,改进有如下几个要点:用信息增益率来选择属性.-C4.5 decision tree algorithm is another classification machine learning algorithm, which is based on ID3 algorithm is an important algorithm improved, compared to the ID3 a
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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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