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- W2022843601 abstract "Biplot is a useful graphical method to simultaneously explore the rows and columns of a two-way data matrix. In particular, principal component factor biplot is a graphical method to describe the interrelationship among many variables in terms of a few underlying but unobservable random variables called factors. If we consider the unobservable variables (which are mutually independent and also non-Gaussian), we can apply the independent component analysis decomposing a mixture of non-Gaussian in its independent components. In this case, if we apply the principal component factor analysis, we cannot clearly describe the interrelationship among many variables. Therefore, in this study, we apply the independent component analysis of Jutten and Herault (1991) decomposing a mixture of non-Gaussian in its independent components. We suggest an independent component biplot to interpret the independent component analysis graphically." @default.
- W2022843601 created "2016-06-24" @default.
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- W2022843601 date "2014-02-28" @default.
- W2022843601 modified "2023-09-23" @default.
- W2022843601 title "Independent Component Biplot" @default.
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- W2022843601 doi "https://doi.org/10.5351/kjas.2014.27.1.031" @default.
- W2022843601 hasPublicationYear "2014" @default.
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