Search - C4.5 decision tree MATLAB

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[Other resource] C4.5算法 DL : 1: 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
Update : 2008-10-13 Size : 2.25kb Publisher : 利军
[matlab] C4.5算法 DL : 1: 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
Update : 2025-02-17 Size : 2kb Publisher : 利军
[Mathimatics-Numerical algorithms] DescionTree DL : 0: 决策树技术之ID3以及C4.5算法学习，很有用哦-decision tree technology and C4.5 ID3 algorithm learning useful oh
Update : 2025-02-17 Size : 112kb Publisher : 唐稍逊
[source in ebook] C45source DL : 0: C45决策树工具的源代码，及其使用说明。-Application of C45 decision tree tools of source code, and its use.
Update : 2025-02-17 Size : 47kb Publisher : 杨金
[JSP/Java] C4.5 DL : 0: 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 : 2025-02-17 Size : 1kb Publisher : xinyuanwo
[Mathimatics-Numerical algorithms] see5-public DL : 0: C5.0 决策树源码, 此算法要优于C4.5算法-C5.0 decision tree source, this algorithm is superior to C4.5 algorithm
Update : 2025-02-17 Size : 80kb Publisher : Jianfei Wu
[matlab] C4.5-2 DL : 0: 数据挖掘中的c4.5算法给予决策树-Data Mining in the given decision tree algorithm c4.5
Update : 2025-02-17 Size : 3kb Publisher : gezn
[AI-NN-PR] NeC45 DL : 0: NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
Update : 2025-02-17 Size : 8kb Publisher :
[matlab] C4_5 DL : 0: 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 : 2025-02-17 Size : 2kb Publisher : 来海锋
[Data structs] c4.5matlab DL : 0: c4.5 关于决策树decision tree的matlab实现程序 -c4.5 decision tree decision tree on the realization of the matlab program
Update : 2025-02-17 Size : 4kb Publisher : 凌风
[Windows Develop] matlab-C4.5 DL : 0: C4.5 决策树算法源码。C4.5决策树是决策树领域的经典算法。以其为内容的书籍引用率已经达到一万次以上-C4.5 decision tree
Update : 2025-02-17 Size : 2kb Publisher : 赵小天
[AI-NN-PR] C4_5 DL : 0: C4.5决策树matlab程序,本人找了很久才找到，绝对能用-C4.5 Decision Tree code
Update : 2025-02-17 Size : 2kb Publisher : chexunjian
[matlab] matlab DL : 0: 决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
Update : 2025-02-17 Size : 4kb Publisher : 王麦
[matlab] C4_5.m DL : 0: his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes.
Update : 2025-02-17 Size : 2kb Publisher : rajesh
[matlab] C4_5 DL : 0: C4.5决策树源代码，直接是matlab源代码-C4.5 decision tree source code matlab source code is directly
Update : 2025-02-17 Size : 2kb Publisher : geqinghuan
[matlab] matlab-C4 DL : 0: 该源代码主要实现C4.5决策树算法，C4.5是对ID3算法的一种改进，它完善了ID3算法，补充了其算法的一点不足-The source code is the main achievement of C4.5 decision tree algorithm, C4.5 is an improved ID3 algorithm, which improved the ID3 algorithm, the algorithm added a little less than its
Update : 2025-02-17 Size : 15kb Publisher : 小强
[Fractal program] c4.5-decision-tree-matlab DL : 0: c4.5分类器支持向量机算法文本分类样本支持核函数算法-c4.5 classifier SVM text classification algorithm sample support kernel function
Update : 2025-02-17 Size : 4kb Publisher : fujun
[Industry research] c4.5-code DL : 0: This file contains matlab code for c4.5 decision tree code, which is used to study id3 algorithm based machine learning code
Update : 2025-02-17 Size : 2kb Publisher : sgnaren
[matlab] C4.5决策树 DL : 0: C4.5决策树的MATLAB实现。内有英文和中文混合注释(C4.5 Decision Tree It has English and Chinese Both Zhu Shi)
Update : 2025-02-17 Size : 4kb Publisher : 范冰冰
[Other] C4.5 DL : 0: 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)
Update : 2025-02-17 Size : 2kb Publisher : lbt136136

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