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这是决策树C4.5算法的java版源码。希望大家能喜欢,愿共同分享!-Decision Tree Algorithm C4.5 java version of the source code. Hope you will like it is willing to share!
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C4.5的简化版本是一个决策树的算法-C4.5 is a simplified version of the Decision Tree Algorithm
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C4.5决策树算法,可以进行数据分类,是数据挖掘的经典算法-C4.5 decision tree algorithm, data classification, is a classic data mining algorithm
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决策树的经典C4.5算法,基于VS2010,对学习人工智能的同学有帮助-C4.5 decision tree algorithm, based on VS2010
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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
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决策树分类 通过读取数据 求信息增益率选择最好的分离属性-Decision tree classification by reading the data and information gain ratio to select the best separation properties
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The aim of this article is to show a brief descr iption 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 i
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决策树算法_C实现,主要是数据挖掘领域。-_C Decision tree algorithm to achieve
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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
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C4.5 算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. C4.5算法继承了ID3算法的优点,并在以下几方面对ID3算法进行了改进:
1) 用信息增益率来选择属性,克服了用信息增益选择属性时偏向选择取值多的属性的不足;
2) 在树构造过程中进行剪枝;
3) 能够完成对连续属性的离散化处理;
4) 能够对不完整数据进行处理。
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
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C4.5决策树算法java实现,未实现截枝部分-decision tree algorithm
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决策树C4.5 用于分类与预测的算法 简洁方便-decision tree C4.5 For classification and prediction algorithm Simple and convenient
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C4.5决策树源码, C语言,文档说明详细,欢迎使用。-C4.5 Decision tree
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C4.5决策树算法,C++算法,通过仔细阅读,可以很方便的了解跟学习决策树算法。-C4.5 decision tree algorithm, C++ algorithm, by reading carefully, you can easily understand the decision tree algorithm with learning.
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决策树算法c4.5 C语言实现以及命名规则和构建工具开发集合-C4.5 decision tree algorithm C language, naming and build tools set
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改进型的决策树算法,特别的实用,欢迎大家下载,也可以用到论文算法中-Improved decision tree algorithm, especially useful, welcome to download, you can also use paper algorithm
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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.
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matlab code for C4.5 decision tr-matlab code for C4.5 decision tree
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matlab decision tree c4.5
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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)
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