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基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space o
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pet analyze image:
a non-negative matrix factorization code for pet analysis
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Nonnegative_matrix_factorization是实现非负矩阵分解的程序，该算法可以用来进行图像分解和模式识别
-Nonnegative_matrix_factorization is to achieve non-negative matrix factorization procedure, the algorithm can be used for pattern recognition and image decomposition
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简单的非负矩阵分解算法，实现图片的重构，迭代次数越大，越接近原图-Simple non-negative matrix factorization algorithm, the reconstruction of the picture, the greater the number of iterations, the closer to the original image
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基于NMF的多聚焦图像融合 适合于学习图像融合的人员-Multi-focus image fusion based on non negative matrix factorization
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为了直接对内燃机振动谱图像进行诊断识别，提出一种基于改进变分模态分解（ＶＭＤ）、伪魏格纳时频分
析（ＰＷＶＤ）与局部非负矩阵分解（ＬＮＭＦ）的内燃机振动谱图像识别诊断方法-In order to direct the internal combustion engine vibration spectral image for diagnosis recognition is proposed based on the improved variational mode decomposit
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非负矩阵分解的最新算法的matlab实现，以及多种算法之间的对比，和在图像识别中的应用,实测可用-The latest non-negative matrix factorization algorithm matlab implementation, as well as the contrast between a variety of algorithms and image recognition applications, the measured available
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DNMF实现了NMF延展的功能，是基于NMF的一种创新算法(Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between cla
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DNMF在matlab中的实现，基于R语言的示例改写(Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classe
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实现高光谱图像的非负矩阵分解，可以在此基础上添加优化算法，实现更高精度和速度。(To achieve hyperspectral image's non negative matrix factorization, we can add optimization algorithm to achieve higher accuracy and speed.)
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