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 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