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利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减-The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be
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普通降维方法汇总，PCA，LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
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基于邻域嵌入式的降维 充分利用matlab矩阵的功能 程序简捷-Neighborhood-based embedded full advantage of dimension reduction procedures for simple matlab function matrix
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dctcom.m文件利用DCT变换完成对输入图像进行压缩；imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪，得到高频系数阈值，降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解；zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT tran
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2DPCA新的降维方法,是PCA的改进,新,很值得一看 -2DPCA a new dimension reduction method is PCA improvements, the new, it is worth a visit
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PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
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主元分析，主要用于多维数据的降维处理，能够从多维数据中提取出最主要的元素，从线性变换的角度来说就是坐标表换到一个能够体现系统特征的基座标系上-Principal component analysis, multidimensional data is mainly used for dimension reduction process, multi-dimensional data can be extracted from the most important elements, from
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pca算法的matlab实现，进行数据的降维处理-Pca algorithm matlab, the data dimension reduction processing
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图像降维，归一化相关系数的计算，和滤波程序，希望大家互相帮助，共同进步-Image dimension reduction, owned by one of the calculation of the correlation coefficient, and the filtering process, and hope that we help each other progress
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pca特征降维，gabor小波变换，人脸识别的matlab程序-pca feature dimension reduction, gabor wavelet transform, face recognition matlab program
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一个关于降维方法的matlab工具包，包含25种常用降维技术的源码-A matlab toolkit on dimensionality reduction method，containing 25 commonly used source dimension reduction techniques
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基于MATLAB平台的通过PCA降维后利用支持向量机SVM的0-9数字识别，适合初学者学习使用-The MATLAB platform by PCA after dimension reduction using 0-9 digital recognition with support vector machine based on SVM, suitable for beginners learning to use
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最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
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用于高光谱图像处理的matlab程序，包括图像融合，降维和图像的极大似然分类程序-For hyperspectral image processing matlab procedures, including image fusion, image dimension reduction and maximum likelihood classification procedure
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使用yale人脸数据库，用PCA降维方法来对人脸数据进行分类的MATLAB代码，附有人脸图片-Yale face , using PCA dimension reduction method to classify data of face of MATLAB code, and comes with a human face images
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PCA降维程序，matlab代码，简单实用-efficient and effective PCA dimension reduction
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matlab图像处理：输入影像矩阵原始的其中某一波段或降维后的某一维矩阵，输出该影像矩阵的灰度共生矩阵。具体函数说明内附。-matlab image processing: the original input image matrix in which a band or a certain dimension after dimension reduction matrix output GLCM the image matrix. Specific function instruction
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matlab中的PCA函数，主要用于人脸识别，采用的是特征降维的原理-MATLAB in the Principal Component Analysis function, mainly used for face recognition, using the principle of feature dimension reduction
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用于高光谱图像处理的matlab程序，包括图像融合，降维和图像的极大似然分类程序(Matlab program for hyperspectral image processing, including image fusion, dimension reduction, and maximum likelihood classification of images)
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