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machine-learning's Introduction

machine-learning

personal practice

个人练习,该项目内容包括:

1.周志华《机器学习》---西瓜数据集2.0

2.TextToArff.java ---将data.txt转换为data.arff/convert data.txt to data.arff

3.ID3---支持可视化的ID3算法,ID3算法还是官方提供的,我只是在此基础上参考http://davis.wpi.edu/~xmdv/weka/ 加了个可视化函数而已,请放心使用。

展示可视化的代码:

//可视化ID3生成的树
		TreeVisualizer tv = new TreeVisualizer(null, classifier.graph(), new PlaceNode2());
		JFrame jf = new JFrame("weka Classifier Tree Visualizer:ID3");
		jf.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
		jf.setSize(700, 700);
		jf.getContentPane().setLayout(new BorderLayout());
		jf.getContentPane().add(tv, BorderLayout.CENTER);
		jf.setVisible(true);
		tv.fitToScreen();
		System.out.println("end");

运行效果如图所示:


4.博客《scikit-learn之kmeans应用及问题》代码,博客地址:https://blog.csdn.net/u012328159/article/details/86554833

动态更新.................

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