Description: ID3算法源程序。使用的方法是编写一个*.dat文件保存样本数据，还有一个*.tag文件保存属性列名，且最后一个属性是标号属性。运行是输入id3 文件名。输出格式是一个二叉判定树。-ID3 algorithm source. The method used was to prepare a document preservation*. dat sample data, a document preservation*. tag attributes listed, and the final one is the attribute label attributes. Running importation id3 file. Output format is a binary decision tree. Platform: |
Size: 4096 |
Author:小丁 |
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Description: 在网上下载的 介绍id3决策树的，简洁易懂，个人觉得是一本好文章特推荐给大家-online download on the id3 decision tree, easy to read, think is an excellent article especially recommended for everyone Platform: |
Size: 212992 |
Author:youyou |
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Description: 该代码是数据挖掘里面的决策树算法 利用ID3理论，通过对训练数据的分析判断，计算出各个数据的其它对目标属性的重要程度，即计算出每个其它数据的信息增益值来将训练数据逐步分类，最后得出目标分类，从而实现决策树的生成过程。最后即可利用此决策树来对新的数据进行测试，判断其目标属性的可能值。-The data mining code is inside the ID3 decision tree algorithm using the theory of training data by analyzing the data to calculate all the other attributes on the target level of importance, that is, every other data to calculate the information gain value to the training data Category gradually came to the conclusion that the target classification, in order to achieve the process of decision tree generation. Finally, you can use this decision tree to test the new data to determine its objectives may be the value of properties. Platform: |
Size: 289792 |
Author: |
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Description: 决策树，很经典，不是一般的经典，你看看吧-Decision tree, it is classic, not an ordinary classic, you take a look at it Platform: |
Size: 641024 |
Author:朱朱 |
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Description: this decision tree ID3 algorithm, this algorithm is one of decision tree algorithm like cart, chaid, c4.5, etc-this is decision tree ID3 algorithm, this algorithm is one of decision tree algorithm like cart, chaid, c4.5, etc Platform: |
Size: 465920 |
Author:sang |
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Description: 决策树算法的matlab实现，主要适用的是id3
算法思想-Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking Platform: |
Size: 6144 |
Author:fj |
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Description: The algorithm ID3 (Quinlan) uses the method top-down induction of decision trees. Given a set of classified examples a decision tree is induced, biased by the information gain measure, which heuristically leads to small trees. The examples are given in attribute-value representation. The set of possible classes is finite. Only tests, that split the set of instances of the underlying example languages depending on the value of a single attribute are supported. Platform: |
Size: 4096 |
Author:Minh |
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Description: 决策树算法ID3的代码实验，编译后可直接使用的ID3代码-ID3 decision tree algorithm code experiments, compiled code can be directly used in ID3 Platform: |
Size: 18432 |
Author:xiaolin |
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Description: 使用MATLAB语言完成的决策树算法。
里面有详细说明-Using the MATLAB language to complete the decision tree algorithm. Details inside Platform: |
Size: 87040 |
Author:老虎 |
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Search - decision tree id3