Principal Manifolds for Data Visualization and Dimension Reduction by

Principal Manifolds for Data Visualization and Dimension Reduction

Lecture Notes in Computational Science and Engineering

364 pages missing pub info (editions)

nonfiction mathematics medium-paced
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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 (...

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