PCA by determinant optimisation has no spurious local optima
Principal Component Analysis (PCA) finds the best linear representation for data and is an indispensable tool in many learning tasks. Classically, principal components of a dataset are interpreted as the directions that preserve most of its “energy”, an interpretation that is theoretically underpinn...
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| Format: | Conference item |
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Association for Computing Machinery
2018
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