What is the purpose of dimension reduction in classification?

Asked Jul 31 '18 at 09:43

Active Aug 01 '18 at 21:17

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

edited Aug 01 '18 at 21:17

asked Jul 31 '18 at 09:43

1

To deal with Curse of Dimensionality. – Sociopath Jul 31 '18 at 09:45
1

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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