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一个计算多维定标（MDS）的matlab源代码，用于高维数据的维数约减,A calculation of multidimensional scaling (MDS) of the matlab source code for the high-dimensional data, dimensionality reduction
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一个很好的PCA程序。它可用于数据的降维，消噪及特征提取。,A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction.
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《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
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独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
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非线性降维方法KPCA 可以应用于高维数据的机器学习-KPCA nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
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该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
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prediction ,plotting,and classification using ann with dimensionality reduction for wegeners disease
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This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction.
* PCA : classical Principal Componnent Analysis (linear projection).
* Nonlinear dimensionality reduction by locally linear embedding
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Matlab code for
Dimensionality Reduction of Clustered Data
Sets
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高校的ICA计算代码，广泛用于特征选择，降维，目标识别等-Colleges and universities ICA calculation code, widely used in feature selection, dimensionality reduction, target identification, etc.
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We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality red
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一个关于数据降维的工具包，外国牛人编写，囊括了各种降维方法，是一个很好的工具！-A tool for data reduction package, foreign cattle were written, include a variety of dimension reduction method is a good tool!
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特征降维方法，其中包含有典型的特征组合方式——PCA和特征选择中的SFFS，SBS，SFS。共四类常用的特征降维方式。-different features dimensionality reduction methods.
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有关人脸识别降维方法的几篇较新的文献Several newer literature related to face recognition dimensionality reduction methods-Several newer literature related to face recognition dimensionality reduction methods
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Matlab Toolbox for Dimensionality Reduction v0.7.2 - November 2010
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toolbox for dimensionality reduction, including PCA
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Dimensionality reduction tools for the MATLAB platform. These are some excellent codes for using in various fields such as image processing and data analysis for dimensionality reduction
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The toolbox contains a lot of dimensionality reduction algorithms
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该压缩文件为部分数据降维方法，有LTSA、HHLLE、ISOMAP、LLTSA、LLP-The compressed file for the partial data dimensionality reduction method, there are LTSA, HHLLE, ISOMAP, LLTSA, LLP
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dimensionality reduction toolbox in matlab
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