搜索资源列表
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蔡登的On The Equivalent of Low-Rank Linear Regressions and Linear Discriminant Analysis Based Regressions的论文源代码-On The Equivalent of Low-Rank Linear Regressions and Linear Discriminant Analysis Based Regressions
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用于降维的matlab工具包，包括PCA，LDA，LLE，等-Matlab Toolbox for Dimensionality Reduction
Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Classical multidimensional scaling (MDS)
Sammon mapping
Linear Discriminant Analysis (LDA
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人脸识别的Fisher线性判别分析，可在MATLAB直接运行-Fisher linear discriminant analysis for face recognition, can be run directly in MATLAB
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上了一门统计分析的课程，所有课程所学内容均不允许使用工具包，特自写PCA，实现LDA线性分类，希望可以与大家分享，一起学习参考，
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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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Linear Discriminant Analysis（LDA）线性判别分析分类-Linear Discriminant Analysis（LDA）
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基于LDA线性辨别分析的人脸识别算法，采用KNN分类器，可直接运行，自带数据库，识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
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基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
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本程序是一个线性判别式分析(LDA)分类器程序.里面有完整的源码-This procedure is a linear discriminant analysis (LDA) classifier program. There is a complete source code
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这是一个应用了线性鉴别分析方法的程序，供大家参考学习-This is an application of the linear discriminant analysis procedures, for your reference study
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局部线性判别分析 用于半监督降维 下载于作者主页-Local Linear discriminant analysis for semi-supervised dimensionality reduction downloaded the author' s home
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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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线性判别分析LDA降维算法，类内距离最小，类间距离最大，训练、测试、分类完整的处理流程-Linear discriminant analysis LDA dimensionality reduction algorithm, the smallest within-class distance, the maximum distance between the classes, training, testing, processing complete classification
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模式分类之fisher线性判别分析,对已知数据进行分类处理。-fisher linear discriminant analysis of pattern classification, known data classification.
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matlab平台实现人脸识别，通过PCA降维后再通过线性判别分析LDA实现人脸匹配。内附ORL人脸数据库，运行main函数即可输出结果-Matlab platform to achieve face recognition, PCA dimensionality reduction and then through linear discriminant analysis LDA face matching. Contains ORL face , run the main function t
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Dimensionality reduction is one of the important preprocessing
steps to handle high-dimensional data. Linear discriminant
analysis (LDA) is a classical and popular approach for this purpose.
LDA finds an optimal linear transformation, which max
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ldatrace performs Linear Discriminant Analysis with optional-Ldatrace performs Linear Discriminant Analysis with optional
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ldatrace performs Linear Discriminant Analysis with optional-Ldatrace performs Linear Discriminant Analysis with optional
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ldatrace performs Linear Discriminant Analysis with optional-Ldatrace performs Linear Discriminant Analysis with optional
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Its linear discriminant analysis
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