# 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 .