Dimensionality Reduction

Entity Type: Glossary ID: dimensionality-reduction

Definition: The process of reducing the number of features or variables in a dataset while preserving important information. Techniques like PCA and t-SNE help visualize high-dimensional data and reduce computational complexity.

Related Terms: - principal-component-analysis - t-sne - feature-selection - curse-of-dimensionality

Source Urls: - https://en.wikipedia.org/wiki/Dimensionality_reduction

Tags: - foundational - machine-learning - data-preprocessing

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31