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Search: authors:"Subhankar Bera"

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Subject choice in educational data sets by using principal component and procrustes analysis

Principal component analysis (PCA) is a dimension-reducing technique that replaces subjects in a multivariate data set by a smaller number of derived subjects. Dimension reduction is often undertaken to help in describing the data set, but as each principal component usually involves all the original subjects, interpretation of a PCA result can still be difficult. One way to...