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Quinlan s C4.5 算法的实现-the implementation of C4.5
Update : 2025-02-17 Size : 2kb Publisher : g

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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
Update : 2025-02-17 Size : 2kb Publisher : sah

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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
Update : 2025-02-17 Size : 2kb Publisher : 利军

决策树技术之ID3以及C4.5算法学习,很有用哦-decision tree technology and C4.5 ID3 algorithm learning useful oh
Update : 2025-02-17 Size : 112kb Publisher : 唐稍逊

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c4.5主要函数的matlab实现,简单易懂,扩展性很强-c4.5 main function of the Implementation of Matlab, simple, strong expansion
Update : 2025-02-17 Size : 2kb Publisher : 郝琳

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ID3+C4.5的源程序。用于数据挖掘决策算法的一个实例。-ID3 C4.5 of the source. Data Mining for a decision algorithm examples.
Update : 2025-02-17 Size : 5kb Publisher : 张飞

[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
Update : 2025-02-17 Size : 10kb Publisher : fff

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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
Update : 2025-02-17 Size : 2kb Publisher : 罗升阳

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
Update : 2025-02-17 Size : 2kb Publisher : lady

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C4.5算法有如下优点:产生的分类规则易于理解,准确率较高。其缺点是:在构造树的过程中,需要对数据集进行多次的顺序扫描和排序,因而导致算法的低效。此外,C4.5只适合于能够驻留于内存的数据集,当训练集大得无法在内存容纳时程序无法运行。-C4.5 algorithm has the following advantages: the classification rules easier to understand, accurate and a higher rate. Its shortcomings are as follows: in the tree structure, the need for a number of data sets the order of scanning and sorting, thus leading to inefficient algorithms. In addition, C4.5 can only be applied to the presence of a data set in memory, when the training set too great to accommodate in memory when the program can not run.
Update : 2025-02-17 Size : 1kb Publisher : xinyuanwo

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数据挖掘中的c4.5算法 给予决策树-Data Mining in the given decision tree algorithm c4.5
Update : 2025-02-17 Size : 3kb Publisher : gezn

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NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
Update : 2025-02-17 Size : 8kb Publisher :

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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.
Update : 2025-02-17 Size : 2kb Publisher : 来海锋

c4.5 关于决策树decision tree的matlab实现程序 -c4.5 decision tree decision tree on the realization of the matlab program
Update : 2025-02-17 Size : 4kb Publisher : 凌风

数据挖掘matlab源码,包含机器学习领域中经典算法如ID3,C4.5,NN,CARD,EM等.-Data Mining matlab source, including the field of classical machine learning algorithms such as ID3, C4.5, NN, CARD, EM, etc..
Update : 2025-02-17 Size : 636kb Publisher : liu yihao

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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
Update : 2025-02-17 Size : 2kb Publisher : dupei

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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
Update : 2025-02-17 Size : 2kb Publisher : dizhaung

C4.5 决策树算法源码。C4.5决策树是决策树领域的经典算法。以其为内容的书籍引用率已经达到一万次以上-C4.5 decision tree
Update : 2025-02-17 Size : 2kb Publisher : 赵小天

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能够实现几种经典的分类算法(ID3,C4.5等)-It can inmplement several classic classification algrorithm(ID3,C4.5,etc.)
Update : 2025-02-17 Size : 646kb Publisher : zhangjunpeng

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c4.5 algorithm in matlab
Update : 2025-02-17 Size : 2kb Publisher : panshopr
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