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这里和大家分享的几种基础的分类方法，其中包括判别聚类分析、人工神经网络、主成分分析等-Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis
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PCA神经网络及学习算法，简单的主分量分析-PCA neural networks and learning algorithms, a simple principal component analysis
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Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Classic GLCM texture calculation method, Principal component analysis of multivariate data analysis projection.
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