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Pattern recognition is one of the most popular topics in the world today. One of its problems is reducing sample variation for the same class and keeping discrimination for different classes. Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter-correlated quantitative(More)
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