Dimension Reduction

In machine learning, dimension reduction is the process of reducing the number of random variables under consideration, and can be divided into feature selection and feature extraction.

Read more about Dimension Reduction:  Feature Selection, Feature Extraction, Adaptive Dimension Reduction

Other articles related to "dimension reduction, reduction":

Adaptive Dimension Reduction
... Many dimension reduction techniques do the reduction once for all ... Adaptive dimension reduction combines dimension reduction and unsupervised learning (clustering) together to improve the reduced data (subspace) adaptively ...

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