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What is «dimensionality reduction»?

In statistics, machine learning, and information theory, dimensionality reduction or dimension reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables.
It can be divided into feature selection and feature extraction.

en.wikipedia.org/wiki/Dimensionality_reduction