Efficient subspace approximation algorithms

Abstract

Confronted with high-dimensional data arising from either word-document count, global climate patterns or any one of the myriad other sources, most scientific approaches extract a <i>good</i> low-dimensional summary. This desire to reduce dimensionality may be seen as a consequence of <i>Occam's Razor</i>, and the scientific methodologies we have in mind… (More)
DOI: 10.1007/s00454-011-9384-2

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