# Random component analysis

Last edited: 2024-03-10

Random component analysis is a form of linear dimension reduction . It picks a random linear map $p: \mathbb{F}^n \rightarrow \mathbb{F}^m$ and applies that.

This works mainly due to The curse of dimensionality .