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We use Principal Component Analysis for dimension reduction, why is it important?

kjetil b halvorsen
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    To deal with `Curse of Dimensionality`. – Sociopath Jul 31 '18 at 09:45
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    To reduce dimensionality. – Eran Moshe Jul 31 '18 at 11:36
  • This is two-fold question, actually two questions. (1) Why would we use dim. red. techniques like PCA, which do not belong to classification domain, _before_ a classification. Is it useful? (2) Why some classification techniques, like LDA (discrim. analysis), are themselves special dim. reduction methods; what's the reason to do dim. red. _on the way_ of classifying? – ttnphns Jul 31 '18 at 12:44

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