搜索资源列表
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4下载：
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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matlab数据挖掘算法。实用cart决策树进行分类，可识别多类。decision tree algorithm, classification.-Matlab data mining algorithms. Practical cart decision tree classification, identification number category. Decision tree algorithm, the classification.
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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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实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
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决策树算法的matlab实现，主要适用的是id3
算法思想-Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking
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this decision tree ID3 algorithm, this algorithm is one of decision tree algorithm like cart, chaid, c4.5, etc-this is decision tree ID3 algorithm, this algorithm is one of decision tree algorithm like cart, chaid, c4.5, etc
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决策树算法的CART算法，用MATLAB编写，能有，不错的。-CART decision tree algorithm algorithm, using MATLAB to prepare, to have, good.
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decision tree algorithm
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使用MATLAB语言完成的决策树算法。
里面有详细说明-Using the MATLAB language to complete the decision tree algorithm. Details inside
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ID3决策树算法，实现不同条件下数据的分类-ID3 decision tree algorithm, the classification of data under different conditions
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在matlab中实现ID3决策树算法--matlab源码-In the ID3 decision tree algorithm implemented in matlab- matlab source
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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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MATLAB 决策树算法 ID3算法 能输出决策图分析误差-MATLAB ID3 decision tree algorithm can output decision diagram analysis error
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C4.5决策树算法，可以进行数据分类，是数据挖掘的经典算法-C4.5 decision tree algorithm, data classification, is a classic data mining algorithm
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Matlab环境下用于数据挖掘的决策树算法源代码，CART算法-Matlab environment for data mining decision tree algorithm source code, CART algorithm
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MATLAB编写的基于决策树的ID3算法实现，模式识别，人脸识别。压缩包中包含两个源文件和测试图片，ID3源文件为主代码，fi为求熵函数。-MATLAB prepared based on the ID3 decision tree algorithm, pattern recognition, face recognition. Compressed package contains two source files and test images, ID3-based source code
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Matlab语言实现的决策树ID3算法，分类功能强大，谁用谁知道-ID3 decision tree algorithm Matlab language, powerful classification, with who knows
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MATLAB下的决策树ID3算法，应用信息增益来划分节点-ID3 decision tree algorithm under MATLAB application information gain to divide the node
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