Definition

DEF

Dimensionality reduction is a technique (often unsupervised) that reduces the number of input features in a dataset while preserving as much important information as possible, making data easier to visualize, process, or model.

Example

Types of Dimensionality Reduction Algorithms

  1. Principle Component Analysis
  2. Linear Discriminant Analysis