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Matlab code for describing linear discriminant analysis
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代码基于Matlab软件,讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时(空)间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程,读者可以加深对有关数学方法的认识和理解,并且掌握很多Matlab的应用技巧。代码规范,可研究价值高。
-Code based on the Matlab software, tells the story of a large number of
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matlab对于线性判别分析的代码,过程详细易懂,相信对大家有用。-matlab code for linear discriminant analysis, to understand the process in detail, we believe to be useful.
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Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition:
Principal Component Analysis
Fisher’s Linear
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