Data Mining - (Dimension|Feature) (Reduction)

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1 - About

In machine learning and statistics, dimensionality reduction is the process of reducing the number of random variables (features) under consideration and can be divided into:

This methods are some called “Model selection methods”.

They are an essential tool for data analysis, especially for big datasets involving many predictors.


3 - Benefits

4 - Concept

  • random projections
  • feature hashing

5 - Documentation / Reference