Glossary math Term Page
Dimensionality Reduction
Reducing dimensions while keeping important structure
Core Idea
Dimensionality reduction compresses data into fewer coordinates while trying to preserve the structure that matters most. In linear algebra, PCA and SVD are two of the main tools for doing this.
Role In This Blog
In Mathbong, dimensionality reduction is where basis, rank, eigenvectors, and singular values become directly useful for data analysis and representation learning.