Description: 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. Platform: |
Size: 1024 |
Author:xinyuanwo |
Hits:
Description: matlab决策树程序，输入数据和变量名，输出分类结果-matlab tree program, input data and variable names, the output of the classification results Platform: |
Size: 2048 |
Author:john |
Hits:
Description: 可以实现模式识别领域的数据的分类及回归，PLS部分最小二乘工具箱,DC-DC部分采用定功率单环控制，GPS和INS组合导航程序，主要为数据分析和统计，在MATLAB中求图像纹理特征，快速扩展随机生成树算法。- You can achieve data classification and regression pattern recognition, PLS PLS toolbox, DC-DC power single-part set-loop control, GPS and INS navigation program, Mainly for data analysis and statistics, In the MATLAB image texture feature, Rapid expansion of random spanning tree algorithm. Platform: |
Size: 7168 |
Author:bhjpgvzk |
Hits:
Description: 决策树分类小程序，分类一个酒的类别数据集，数据集里有三类酒，利用matlab自带的决策树函数，根据数据集进行建模，预测。决策树小程序Demo(Decision tree classification program, classification of a wine category data set, there are three types of wine in the data set, using the decision tree function of matlab, according to the data set for modeling and prediction. Decision Tree applet Demo) Platform: |
Size: 19456 |
Author:DevilBOB |
Hits:
Search - program matlab tree classification