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In [1], a clustering algorithm was given to find the centers of clusters quickly. However, the accuracy of this algorithm heavily depend on the threshold value of í µí±‘ í µí±. Furthermore, [1] has not provided any efficient way to select the threshold value of í µí±‘ í µí± , that is, one can have to estimate the value of í µí±‘ í µí± depend on one's(More)
In this paper, a new method is proposed on face recognition by integrating data field and PCA(Principal Component Analysis). First, the state of the art is analyzed on PCA face recognition. Second, the method principle is presented. After the features are extracted from facial pictures with data field, faces are recognized by using PCA. Finally, a case is(More)