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Description: 用matlab语言写的C4.5算法,用于模式分类
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Size: 2199 |
Author: 罗升阳 |
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Description: Quinlan s C4.5 算法的实现-the implementation of C4.5
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Size: 2048 |
Author: g |
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Description: 数据挖掘算法，分类树的C4.5算法，用于模式分类-data mining algorithms, the C4.5 classification tree algorithm for pattern classification
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Size: 2048 |
Author: sah |
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Description: [数据挖掘]数据挖掘部分算法的matlab实现 C4_5
比较经典的代码-[Data Mining] part of data mining algorithms compare classic C4_5 realize matlab code
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Size: 10240 |
Author: fff |
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Description: 用matlab语言写的C4.5算法,用于模式分类-Matlab language used to write the C4.5 algorithm for pattern classification
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Size: 2048 |
Author: 罗升阳 |
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Description: 数据挖掘部分算法的matlab实现 C4_5
大家可以共同研究研究-Data mining algorithm matlab part we will be able to realize C4_5 Research
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Size: 2048 |
Author: lady |
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Description: 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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Size: 2048 |
Author: 来海锋 |
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Description: 这是一个用matlab编写的C4.5算法的实现-this is a classification of machine learing,C4.5,using matlab
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Size: 2048 |
Author: dupei |
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Description: C4.5算法 matlab实现的，感觉还可以，大家可以看看！-the implementation of C4.5 using matlab
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Size: 2048 |
Author: dizhaung |
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Description: 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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Size: 2048 |
Author: chexunjian |
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Description: matlab源代码 C4.5决策树算法的matlab实现-C4.5
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Size: 2048 |
Author: 李军 |
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Description: 数据挖掘的 MATLAB 算法源代码 希望有用-MATLAB algorithm for data mining source code hope helpful
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Size: 2048 |
Author: 翟雪彤 |
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Description: 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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Size: 2048 |
Author: zhangyi |
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Description: 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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Size: 4096 |
Author: haiyang |
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Description: c4.5 a classification
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Size: 2048 |
Author: mysuzan |
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Description: 一种关于c4.5的简单matlab编程。-A kind of simple matlab program on c4.5.
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Size: 2048 |
Author: 妮子 |
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Description: 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 possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes.
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Size: 2048 |
Author: rajesh |
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Description: 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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Size: 2048 |
Author: geqinghuan |
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Description: 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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Size: 2048 |
Author: 王杰 |
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Description: 决策树分类算法C4.5的matlab代码实现，可返回训练集和测试集的结果，有详细注释(classification tree)
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Size: 1024 |
Author: 木木木233
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