传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。

Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.

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最小奇异值作为静态电压稳定指标已广泛应用于电力系统的稳定分析之中。

As an index of static voltage stability the minimum singular value is widely used in power system stability analysis.

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提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。

A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.

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