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Update : 2025-02-19 Size : 157kb Publisher : 刘志刚

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用matlab语言写的C4.5算法,用于模式分类-Matlab language used to write the C4.5 algorithm for pattern classification
Update : 2025-02-19 Size : 2kb Publisher : 罗升阳

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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和排序,因而导致算法的低效。此外,C4.5只适合于能够驻留于内存的数据集,当训练集大得无法在内存容纳时程序无法运行。-C4.5 algorithm has the following advantages: the classification rules easier to understand, accurate and a higher rate. Its shortcomings are as follows: in the tree structure, the need for a number of data sets the order of scanning and sorting, thus leading to inefficient algorithms. In addition, C4.5 can only be applied to the presence of a data set in memory, when the training set too great to accommodate in memory when the program can not run.
Update : 2025-02-19 Size : 1kb Publisher : xinyuanwo

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决策树C45,用matlab编写的,数据挖掘算法。-Decision Tree C45, prepared by matlab, data mining algorithms.
Update : 2025-02-19 Size : 2kb Publisher : 来海锋

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能够实现几种经典的分类算法(ID3,C4.5等)-It can inmplement several classic classification algrorithm(ID3,C4.5,etc.)
Update : 2025-02-19 Size : 646kb Publisher : zhangjunpeng

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模式识别工具箱函数,包含多种模式识别方法如KNN,PCA,SVM,C4.5,EM算法-Pattern recognition toolbox functions, including a variety of pattern recognition methods such as KNN, PCA, SVM, C4.5, EM algorithm, etc.
Update : 2025-02-19 Size : 354kb Publisher : Arthur
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