[Lecture Notes in Computational Science
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Gorban, Alexander N.; KΓ©gl, BalΓ‘zs; Wunsch, Donald C.; Zinovyev, Andrei Y.
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Article
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2008
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Springer Berlin Heidelberg
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German
β 731 KB
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SO