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Both linear modeling and nonlinear modeling provide special means to simplify problem-solving in science and engineering, which also represents a critical stage for intelligent decision support systems. Model-driven decision support systems have numerous real world applications, such as the feature extraction, image compression, pattern recognition, medical diagnosis and telecommunication. In this...
Linear and nonlinear component analysis are proposed for fingerprint recognition in this study. Principal component analysis (PCA) has been used for dimension reduction so that the significant characteristics of various samples are indicated by the dominant eigenvectors of the corresponding covariance matrices. Then a set of principal components are selected for cluster separation. It is a multivariate...
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