Location:
Search - C4 matlab
Search list
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: 2308 |
Author: 利军 |
Hits:
Description: dsp源代码 matlab c 代码 代码 代码-dsp c Matlab source cod e cod e cod e
Platform: |
Size: 4287 |
Author: yingang1978 |
Hits:
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: 2312 |
Author: 郝琳 |
Hits:
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:
Description: dsp源代码 matlab c 代码 代码 代码-dsp c Matlab source cod e cod e cod e
Platform: |
Size: 4096 |
Author: |
Hits:
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:
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:
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:
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:
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:
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:
Description: function [ret,x0,str,ts,xts]=smg(t,x,u,flag)
smg is the M-file description of the SIMULINK system named smg.
The block-diagram can be displayed by typing: smg.
SYS=smg(T,X,U,FLAG) returns depending on FLAG certain
system values given time point, T, current state vector, X,
and input vector, U.
FLAG is used to indicate the type of output to be returned in SYS.
Platform: |
Size: 6144 |
Author: hacen |
Hits:
Description: c4.5 algorithm in matlab
Platform: |
Size: 2048 |
Author: panshopr |
Hits:
Description: 决策树C4.5和CART算法的m源码
-CART decision tree algorithm C4.5 and the source m
Platform: |
Size: 4096 |
Author: 王麦 |
Hits:
Description: 比较详细的C4.5代码 MATLAB中直接可用
Platform: |
Size: 7341 |
Author: jiangliang90 |
Hits:
Description: C4.5决策树的MATLAB实现。内有英文和中文混合注释(C4.5 Decision Tree It has English and Chinese Both Zhu Shi)
Platform: |
Size: 4096 |
Author: 范冰冰
|
Hits:
Description: 里面有随机森林，C4.5，ID3，SVM等分类器的matlab代码(There are random forest, C4.5, ID3, SVM classifiers matlab code)
Platform: |
Size: 5283840 |
Author: jack3
|
Hits:
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:
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:
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: