Hot Search : Source embeded web remote control p2p game More...
Location : Home Search - c4.5
Search - c4.5 - List
DL : 0
用Java开发的C4.5源码? 用Java开发的C4.5源码!-C4.5 developed using Java source code? C4.5 developed using Java source code!
Update : 2024-04-28 Size : 427008 Publisher : Cdr

OtherC4.5
DL : 0
c45决策树算法,其中输出结果为正确分类率、错误分类率和不可识别率,由c++编写-c45 decision tree,c++
Update : 2024-04-28 Size : 102400 Publisher : 杨景明

algorithm c4.5 a good test for a data
Update : 2024-04-28 Size : 17408 Publisher : Aziz rwhani

matlabC4_5
DL : 0
c4.5 a classification
Update : 2024-04-28 Size : 2048 Publisher : mysuzan

matlabC4_5
DL : 0
一种关于c4.5的简单matlab编程。-A kind of simple matlab program on c4.5.
Update : 2024-04-28 Size : 2048 Publisher : 妮子

DL : 0
决策树的java代码,有id3和c4.5的-Decision tree java code, there' s id3 and c4.5
Update : 2024-04-28 Size : 238592 Publisher : TS

DL : 0
决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
Update : 2024-04-28 Size : 4096 Publisher : 王麦

DL : 0
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.
Update : 2024-04-28 Size : 2048 Publisher : rajesh

DL : 0
这是决策树算法C4.5的源代码!是用vc编写的,内容比较详细。-this is a source code of C4.5 algorithm!
Update : 2024-04-28 Size : 160768 Publisher : 岳涛

DL : 0
基于C4.5的决策树算法,一种非线性分类器-Based on C4.5 decision tree algorithm, a nonlinear classifier
Update : 2024-04-28 Size : 48128 Publisher : 何勇

DL : 0
C4.5算法C++实现,天津大学,C4.5算法实现报告,含C++版C4.5算法源码-c4.5 code
Update : 2024-04-28 Size : 67584 Publisher : 张超

DL : 0
C4.5r8,经典的C4.5算法。带有数据集,下载即可运行。-C4.5 Code
Update : 2024-04-28 Size : 491520 Publisher : 张超

matlabC4.5
DL : 0
Quinlan的决策树程序C4.5(M语言编写)-the program for decision tree C4.5 purposed by Quinlan
Update : 2024-04-28 Size : 3072 Publisher : change

win下C++实现C4.5算法,图形界面具有测试功能.采用悲观后剪枝,使用增益比进行连续属性离散化.-Win C++ C4.5 algorithm under realization, graphic interface with test function. After the pessimistic pruned, use than to gain discretization.
Update : 2024-04-28 Size : 258048 Publisher : 罗晓民

介绍C4.5的文章,有详细的例子,对理解算法很有帮助-The article introduces C4.5, detailed examples, helpful to understand the algorithm
Update : 2024-04-28 Size : 268288 Publisher : yangcaodie

DL : 0
c4.5的一个matlab实现文件,免费提供下载
Update : 2013-04-26 Size : 2724 Publisher : 773898542@qq.com

DL : 0
The aim of this article is to show a brief description about the C4.5 algorithm, used to create Univariate De- cision Trees. We also talk about Multivariate Decision Trees, their process to classify instances using more than one attribute per node in the tree. We try to discuss how they work, and how to implement the algorithms that build such trees, including examples of Univariate and Multivariate results.
Update : 2024-04-28 Size : 161792 Publisher : tuanhadau

Application and Analysis of C4.5 Algorithm
Update : 2024-04-28 Size : 124928 Publisher : zhougang

DL : 0
C4.5版本决策树程序源代码,简单易懂,队初学数据挖掘者有个很好的参考价值。-C4.5 decision tree version of the source code, easy to understand, the team novice data miners have a good reference value.
Update : 2024-04-28 Size : 913408 Publisher : jcy

这是介绍c4.5算法的一篇文章,非常清楚-It is an article about c4.5 algorithm,which is quite clear.
Update : 2024-04-28 Size : 268288 Publisher : 苏小
« 1 2 3 4 5 6 78 9 10 11 12 ... 20 »
DSSZ is the largest source code store in internet!
Contact us :
1999-2046 DSSZ All Rights Reserved.