Non-negative matrix factorization has non-negative and local characteristics, and it is a new feature extraction method.

非负矩阵分解具有非负性和局部性的特点，是一种新型的特征提取方法。

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Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.

本文借助于非负矩阵分解算法，提出了一种基于非负因子分析的模糊文本聚类方法。

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And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization (NMF) is presented.

并在特征提取环节，提出CSVD算法与非负矩阵因子算法特征数据相融合的人脸识别算法。

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