Search - Matlab C4.5

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[AI-NN-PR] C4_5 DL : 0: Quinlan s C4.5 算法的实现-the implementation of C4.5
Update : 2025-02-17 Size : 2kb Publisher : g
[matlab] C4_5 DL : 0: 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
[matlab] C4.5算法 DL : 1: 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
[Mathimatics-Numerical algorithms] DescionTree DL : 0: 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
[Other] c4-5 DL : 0: 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
[matlab] ID3+C4.5 DL : 0: 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
[Mathimatics-Numerical algorithms] matlabC4.5 DL : 0: [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
[matlab] C4_5 DL : 0: 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
[JSP/Java] C4.5 DL : 0: 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
[matlab] C4.5-2 DL : 0: 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
[AI-NN-PR] NeC45 DL : 0: 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 :
[Data structs] c4.5matlab DL : 0: 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
[Mathimatics-Numerical algorithms] mitmatlab DL : 0: 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
[matlab] C4_5 DL : 0: 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
[Windows Develop] matlab-C4.5 DL : 0: 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
[matlab] c4-5 DL : 0: c4.5 algorithm in matlab
Update : 2025-02-17 Size : 2kb Publisher : panshopr
[matlab] C4.5源代码 DL : 0: 比较详细的C4.5代码 MATLAB中直接可用
Update : 2014-12-04 Size : 7.17kb Publisher : jiangliang90
[matlab] 决策树C4.5算法matlab源代码(完美运行) DL : 0: 可以完美的实现用于统计学习的算法C4.5分类，完整的matlab程序(Classification of algorithm C4.5 for statistical learning)
Update : 2025-02-17 Size : 2kb Publisher : mapleZL
[Other] C4.5 DL : 0: 使用matlab实现C4.5决策树算法核心(Implementing the Core of C4.5 Decision Tree Algorithms with MATLAB)
Update : 2025-02-17 Size : 2kb Publisher : lbt136136
[matlab] matlab实现的C4.5分类决策树算法 DL : 0: C4.5决策树分类算法，用于进行数据分类(Classification algorithm)
Update : 2025-02-17 Size : 13kb Publisher : 圆圆yy

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