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[AI-NN-PRC4_5

Description: Quinlan s C4.5 算法的实现-the implementation of C4.5
Platform: | Size: 2048 | Author: g | Hits:

[matlabC4_5

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
Platform: | Size: 2048 | Author: sah | Hits:

[matlabC4.5算法

Description: 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
Platform: | Size: 2048 | Author: 利军 | Hits:

[Mathimatics-Numerical algorithmsDescionTree

Description: 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
Platform: | Size: 114688 | Author: 唐稍逊 | Hits:

[Otherc4-5

Description: 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
Platform: | Size: 2048 | Author: 郝琳 | Hits:

[matlabID3+C4.5

Description: 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.
Platform: | Size: 5120 | Author: 张飞 | Hits:

[Mathimatics-Numerical algorithmsmatlabC4.5

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
Platform: | Size: 10240 | Author: fff | Hits:

[matlabC4_5

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
Platform: | Size: 2048 | Author: 罗升阳 | Hits:

[JSP/JavaC4.5

Description: 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.
Platform: | Size: 1024 | Author: xinyuanwo | Hits:

[matlabC4.5-2

Description: 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
Platform: | Size: 3072 | Author: gezn | Hits:

[AI-NN-PRNeC45

Description: 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.
Platform: | Size: 8192 | Author: | Hits:

[Data structsc4.5matlab

Description: 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
Platform: | Size: 4096 | Author: 凌风 | Hits:

[Mathimatics-Numerical algorithmsmitmatlab

Description: 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..
Platform: | Size: 651264 | Author: liu yihao | Hits:

[matlabC4_5

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
Platform: | Size: 2048 | Author: dupei | Hits:

[Windows Developmatlab-C4.5

Description: 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
Platform: | Size: 2048 | Author: 赵小天 | Hits:

[matlabc4-5

Description: c4.5 algorithm in matlab
Platform: | Size: 2048 | Author: panshopr | Hits:

[matlabC4.5源代码

Description: 比较详细的C4.5代码 MATLAB中直接可用
Platform: | Size: 7341 | Author: jiangliang90 | Hits:

[matlab决策树C4.5算法matlab源代码(完美运行)

Description: 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)
Platform: | Size: 2048 | Author: mapleZL | Hits:

[OtherC4.5

Description: 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)
Platform: | Size: 2048 | Author: lbt136136 | Hits:

[matlabmatlab实现的C4.5分类决策树算法

Description: C4.5决策树分类算法,用于进行数据分类(Classification algorithm)
Platform: | Size: 13312 | Author: 圆圆yy | Hits:
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