A Julia package for evaluating distances (metrics) between vectors. This package also provides optimized functions to compute column-wise and pairwise distances, which are often substantially faster than a straightforward loop implementation.
Features
- The library supports three ways of computation
- Compute distances between corresponding objects
- Distance type hierarchy
- Precision for Euclidean and SqEuclidean
- Each distance corresponds to a distance type
- Euclidean distance
Categories
Data VisualizationLicense
MIT LicenseFollow Distances.jl
You Might Also Like
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Distances.jl!