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基于奇异值分解的核线性判别分析（Kernel Discriminant Analysis via QR Decomposition）。
-based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
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核直接线性判别方法:图像及高维复杂数据模式识别的利器！内有方法开发的相关文档说明！经典！-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf]
Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using
Kernel Direct Discriminant Anal
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KDA: Kernel Discriminant Analysis
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article about PCA algorithm
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Paper on non linear discriminant analysis.
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Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques:
Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Sammon mapping
Lin
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A probabilistic neural network (PNN) is a feedforward neural network, which was derived the Bayesian network and a statistical algorithm called Kernel Fisher discriminant analysis-A probabilistic neural network (PNN) is a feedforward neural network,
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KDA: Kernel Discriminant Analysis
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