single-algebra 🧮

The companion algebra library for single-rust, providing powerful matrix operations and machine learning utilities.

Features 🚀

• Efficient operations on sparse and dense matrices
• Dimensionality reduction techniques
• Clustering algorithms including Louvain community detection
• More features planned!

Matrix Operations 📊

• SVD decomposition with parallel and LAPACK implementations
• Matrix convenience functions for statistical operations
• Support for both CSR and CSC sparse matrix formats

Clustering 🔍

• Louvain community detection
• Similarity network construction
• K-nearest neighbors graph building
• Local moving algorithm for community refinement

Dimensionality Reduction ⬇️

• Incremental PCA implementation
• Support for sparse matrices in dimensionality reduction

Acknowledgments 🙏

The Louvain clustering implementation was adapted from louvain-rs written by Juan Morales (crispamares@gmail.com). The original implementation has been modified to better suit the needs of single-algebra.

Installation

Add this to your Cargo.toml:

[dependencies]
single-algebra = "0.2.0-alpha.0"