Dimensionality Reduction

A process and technique used to reduce the number of features or dimensions in a dataset while preserving the most important properties of the original data.

Dimensionality Reduction

Areas of application

  • Machine Learning
  • Data Analytics
  • Natural Language Processing
  • Computer Vision
  • Neural Networks
  • Big Data Processing
  • Pattern Recognition
  • Image Processing

Example

For instance, image compression algorithms like JPEG use dimensionality reduction to reduce the number of pixels in an image while preserving its essential characteristics, such as colors and shapes.

Resources