This paper proposes a face recognition algorithm based on the principle components analysis (PCA) reconstruction.
提出一种基于主向量分析(PCA)重建的人脸识别方法。
Several pattern recognition algorithm is introduced, including PCA, MPCA, LLE etc.
说明：多种模式识别算法的介绍，包括PCA,MPCA,LLE等。
Recognition rate is superior to the traditional PCA algorithm. Finally experiments analyze the relationship between neighbor K and the embedding dimension of algorithms SLLE to the recognition rate.
最后实验分析了SLLE算法近邻数K和嵌入维数对识别率的影响，得到了SLLE算法的最优近邻数K和低维嵌入维数。
Recognition rate is superior to the traditional PCA algorithm. Finally experiments analyze the relationship between neighbor K and the embedding dimension of algorithms SLLE to the recognition rate.
最后实验分析了SLLE算法近邻数K和嵌入维数对识别率的影响，得到了SLLE算法的最优近邻数K和低维嵌入维数。
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