Data Mining - (Dimension|Feature) (Reduction)

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

data_mining/dimension_reduction.txt · Last modified: 2017/11/17 10:55 by 162.158.167.130