Description: 是构造决策树分类器的一种算法，它是ID3算法的扩展。ID3算法只能处理离散型的描述性属性，而此算法还能够处理描述性属性是连续型的情况。-Decision tree classifier is constructed of an algorithm, which is an extension of ID3 algorithm. ID3 algorithm can only handle discrete descriptive attributes, and this algorithm is also capable of dealing with descriptive attribute is continuous situation. Platform: |
Size: 444416 |
Author:刘林 |
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Description: 数据挖掘算法中，有关决策树算法c4.5的实现，c4.5是在ID3基础上实现的，有这比id3还好的功能-Data mining algorithms, the decision tree algorithm c4.5 realization, c4.5 is based on ID3, with this function better than id3 Platform: |
Size: 160768 |
Author:司马腾 |
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Description: 决策树ID3算法的改进算法,可以处理数值属性,缺丢值和噪声数据.-ID3 decision tree algorithm to improve the algorithm, can deal with numerical attributes, missing values and noisy data lost. Platform: |
Size: 161792 |
Author:chj2010 |
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Description: 决策树ID3算法,带详细注释,可参考《数据挖掘概念与技术》里P185~P196,以MyEclipse7.0环境下开发的
测试数据在data文件下-Decision Tree ID3 Algorithm with extremely detail comments, refering to the book of Data Minning Concepts and Techniques. Do comprehend the content from Page 185 to Page 196 in this book.
Developed in MyEclipse7.0
Test data lies in folder data.
good luck Platform: |
Size: 80896 |
Author:黑伯爵 |
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Description: 从网络上搜集的决策树源码，包括C4_5、ID3、CART_iris三个源码，供大家一起学习研究。-Decision tree collected from the network source, including C4_5, ID3, CART_iris 3 source for study and research with everyone. Platform: |
Size: 4096 |
Author:haiyang |
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Description: 决策树，ID3算法，供大家参考学习，相互交流，相互帮助，共同进步-Decision Tree ID3 Algorithm with extremely detail comments, refering to the book of Data Minning Concepts and Techniques. Do comprehend the content from Page 185 to Page 196 in this book. Developed in MyEclipse7.0 Test data lies in folder data. good luck Platform: |
Size: 15360 |
Author:liuying |
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Description: 使用id3决策树建立学生信息管理系统，对学生成绩按照籍贯、院系、科目等分类成不及格、及格、良好、优秀-Id3 decision tree with the establishment of student information management system, according to origin of student achievement, faculty, courses, etc. and to not pass, pass, good, excellent Platform: |
Size: 14336 |
Author:小新 |
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Description: 决策树经典学习算法，C4.5算法是ID3算法的改进，加上了子树的信息，因素属性的值可以是连续量,训练例的因素属性值可以是不确定的,对已生成的决策树进行裁剪,减小生成树的规模.-Decision tree learning algorithm of C4.5 algorithm is the classic, the improved ID3 algorithm, coupled with the subtree of the information, the factor attribute value can be continuous, training cases of factor property values can be of uncertain, the generated decision tree cut, reducing the size of the spanning tree. Platform: |
Size: 172032 |
Author:guda |
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Description: 实现ID3 决策树算法，并使用MATLAB自带的工具箱函数画出决策树生成相应的规则-Achieve ID3 decision tree algorithm, and using MATLAB toolbox function that comes with the decision tree to generate the appropriate rules to draw Platform: |
Size: 2048 |
Author:stephen |
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Description: 使用matlab实现id3决策树算法，给出使用方法及举例，并附带相关测试集合。
-Using ID3 to achieve the MATLAB decision tree algorithm, given the use of methods and examples, and with the relevant test set.
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Size: 13312 |
Author:zhch65 |
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Description: ID3算法是一种贪心算法，用来构造决策树。ID3算法起源于概念学习系统（CLS），以信息熵的下降速度为选取测试属性的标准，即在每个节点选取还尚未被用来划分的具有最高信息增益的属性作为划分标准，然后继续这个过程，直到生成的决策树能完美分类训练样例。(The ID3 algorithm is a greedy algorithm, which is used to construct a decision tree. ID3 algorithm originated from the concept of learning system (CLS), with the descending velocity of the information entropy for choosing the test attribute selection criteria, namely in each node has not yet been used to attribute with the highest information gain division as the division standard, then continues the process until the decision tree generated perfect classification of training examples.) Platform: |
Size: 2500608 |
Author:秦冰
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Description: 这是一个ID3决策树分类的代码用于分类器的计算，大家下载类以后可以学习使用，ID3是一种比较古老的决策树，最新的有C4.5等(This is an ID3 decision tree classification code for classifier calculation, which can be used after downloading the class. ID3 is a relatively ancient decision tree, with the latest C4.5 and so on) Platform: |
Size: 12288 |
Author:niuzhanhua
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Search - id3 with decision tree