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这是SVM算法的一个简单应用,用SVM进行线性二分类。此算法可以帮助大家从基础上认识SVM,从而进行编程。-This is a simple application of SVM algorithm, using a linear SVM binary classification. This algorithm can help you recognize the basis of SVM, which can be programmed.
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用SVM进行分类时,需要对原数据进行归一化处理。-When using SVM classification, the need for raw data normalized.
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在机器学习领域,支持向量机SVM(Support Vector Machine)是一个有监督的学习模型,通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现,用的是SMO算法。只能进行分类,并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use
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此文件是利用支持向量机解决分类预测问题的一个简单的例子-This document is a simple example of using support vector machines to solve classification prediction problems
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使用2种分类方法随机森林、SVM对数据进行分类(Classification of data using random forests and SVM)
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