搜索资源列表
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Matlab source codes for the regularized linear discriminant analysis (R-LDA)，Author: Lu Juwei，Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto，Released in 01 November 2004
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Linear Discriminant Analysis in matlab
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统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines,
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fisher线性鉴别分析的人脸识别，在ORL库上实验，可在其他库上运行-fisher linear discriminant analysis for face recognition, in the ORL database on the test can be run on other database
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Semi-Supervised Discriminant Analysis (Manifold Regularization Way)
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判别分析的Matlab源码，很全面实用的程序-Matlab source code of the discriminant analysis, it is a comprehensive
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matlab环境的判别分析代码 非常实用-discriminant analysis matlab environment very useful code
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Matlab数据统计和分析的程序，包含下面所列的多种算法的
MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly 用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis 用Fisher两类判别法对样本进行分类
MainAnalysis 对样本进行主成分
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Generalised Discriminant Analysis
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数据挖掘的线性判别分析,用matlab编写-Data Mining linear discriminant analysis, using matlab write
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LINEAR DISCRIMINANT ANALYSIS - A BRIEF TUTORIAL-LINEAR DISCRIMINANT ANALYSIS- A BRIEF TUTORIAL
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Canonical Discriminant Analysis is a dimension-reduction technique related to PCA and CCA
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AR人脸库进行DCT变换，然后使用Fisher discriminant analysis 进行特征提取，使用cos分类器进行人脸分类。-AR Face Database for DCT transform, and then use the Fisher discriminant analysis feature extraction, using cos classifier for human face classification.
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在ar人脸库上使用鉴别公共向量方法（discriminant common vector）方法实现人脸图像鉴别分析-In the ar face database using the identification of public-vector method (discriminant common vector) method of achieving facial image discriminant analysis
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In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is in
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Discriminant Analysis Toolbox
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Fisher线性鉴别分析方法(FLDA)-Fisher linear discriminant analysis (FLDA)
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核Fisher鉴别分析方法（KFDA）。KFDA方法的基本思想是首先将原始训练样本通过一个非线性映射 映射到某一高维(可能是无限维)特征空间F中，然后在F中执行Fisher鉴别分析。-Nuclear Fisher discriminant analysis method (KFDA). The basic idea of KFDA method is the first original training data by a nonlinear mapping m
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模式识别实验验程序
极大似然估计和Fisher线形判别分析-Experimental test procedures for pattern recognition maximum likelihood estimation and Fisher linear discriminant analysis
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多重判别分析，根据输入样本和标签自动生成判别空间-Multiple discriminant analysis, and labeling of the input sample space automatically generated discriminant
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