# Dimensional Reduction
`linfa-reduction` aims to provide pure Rust implementations of dimensional reduction algorithms.
## The Big Picture
`linfa-reduction` is a crate in the [`linfa`](https://crates.io/crates/linfa) ecosystem, an effort to create a toolkit for classical Machine Learning implemented in pure Rust, akin to Python's `scikit-learn`.
## Current state
`linfa-reduction` currently provides an implementation of the following dimensional reduction methods:
- Diffusion Mapping
- Principal Component Analysis (PCA)
## Examples
There is an usage example in the `examples/` directory. To run, use:
```bash
$ cargo run --release --example diffusion_map
$ cargo run --release --example pca
```