Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
TypeScript port of Clipper2 polygon clipping, offsetting, and triangulation library by Angus Johnson
Pynkowski is a Python package to compute Minkowski Functionals, as well as their expected values for different fields.
Loop-Free KNN algorithm for GNU Octave and Matlab
Collision based on Minkowski Difference
A high-integrity, generic Ada library for calculating numeric and text distances (Euclidean, Levenshtein, Haversine, etc.), formally verified with SPARK.
Validation framework for numerical relativity solvers. Testing protocols, benchmarking, and verification methods for spacetime metric calculations and geometric analysis.
Minkowski's Space-Time Visualizer
Rust library of fundamental 2D/3D geometric primitives, polygon operations, robust predicates, collision detection, Minkowski sums, and spatial indexing.
Classification of IRIS Dataset using various distance metrics.
This project compares k-NN performance using different distance metrics. Euclidean, Manhattan, and Minkowski achieved 100% accuracy, making them ideal for numerical data. Cosine Similarity performed well (93.33%), while Hamming and Jaccard were ineffective (33.33%).
Compute the city block (Manhattan) distance between two double-precision floating-point strided arrays.
Compute the Minkowski distance between two double-precision floating-point strided arrays.
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