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c45.rar
- 这是数据挖掘中c4.5分类算法的vc++源码。,This is a data mining algorithm c4.5 classification of vc++ source code.
c4.5java
- 决策树分类算法，c4.5，java语言进行描述的-Decision tree classification algorithm, c4.5, java language described
Baggingboostingandc45
- 模式识别bagging boosting c4.5算法-Bagging boosting c4.5 algorithm for pattern recognition
111186726c4.5-win
- 由于ID3算法在实际应用中存在一些问题，于是Quilan提出了C4.5算法，严格上说C4.5只能是ID3的一个改进算法。-Because of ID3 algorithm in practical applications, there are some problems, so Quilan proposed algorithm C4.5, C4.5 strictly speaking can only be an improved algorithm ID3.
DataMining
- 数据挖掘c4.5算法实现,实现简单相似判别.-Data Mining c4.5 algorithm to achieve simple and similar to distinguish.
C4.5
- 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++
C4.5PP
- C4.5分类器 使用C++实现，有注释-C4.5 classfier
C4
- 某个公司采用公用电话传递数据，数据是四位的整数，在传递过程中是加密的，加密规则如下： 每位数字都加上5,然后用和除以10的余数代替该数字，再将第一位和第四位交换，第二位和第三位交换。-A company using a public phone to transfer data, the data is an integer of four in the transfer process is encrypted encryption rules are as follows: eac
C4.5
- 用c++编写的决策树识别，数据来源为csdn上一位大神的经典之作-Classic written c++ decision tree identification, data sources from csdn
c45
- 对C4.5程序进行了修改，使代码更加优化-Procedures for C4.5 was modified to make the code more optimized
DecisionTree
- C++编写的C4.5决策树程序，为数据挖掘基础算法。 网址为:http://www.cnblogs.com/michaelGD/archive/2012/11/14/2770758.html-C++ written C4.5 decision tree program, the foundation for the data mining algorithms. Site at: http://www.cnblogs.com/michaelGD/archive/2012/11/14/277
c4.5
- c4.5决策树批量预测代码，将GetData函数中fallDetect.cases改成想要预测的预测集的名字，在linux下用gcc编译，将main函数中的fallDetect.tree改成你自己的决策树模型的名字，使用前必须在同一目录下放有使用c4.5训练出来的决策树-c4.5 decision tree batch prediction code, the name changed to GetData function fallDetect.cases want to predict th
C4.5
- C4.5决策树算法java实现,未实现截枝部分-decision tree algorithm
C4_5
- 决策树C4.5程序设计，非常实用且方便，欢迎大家学习，借鉴。-C4.5 decision tree program design, very practical and convenient, welcome everyone to learn from.
C4_5
- C4.5算法，优秀的决策树算法，由于求解特征分类问题(C4.5 algorithm, an excellent decision tree algorithm, especially for the problem of feature classification)
C4_5
- 决策树分类算法C4.5的matlab代码实现，可返回训练集和测试集的结果，有详细注释(classification tree)
各种分类器matlab程序
- 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)
C4.5
- Hitungan C4.5 dengan menggunakan excel
train_C4_5
- matlab编码实现C4.5算法的分类问题，完整代码(Classification of C4.5 algorithm by coding)
C4.5
- 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)