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euclidean-distances

Here are 4 public repositories matching this topic...

HKUST-Aerial-Robotics / FIESTA

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

robotics mapping planning euclidean-distances

Updated Sep 10, 2019
C++

Scrayil / k-means

This project consists in the implementation of the K-Means and Mini-Batch K-Means clustering algorithms. This is not to be considered as the final and most efficient algorithm implementation as the objective here is to make a clear comparison between the sequential and parallel execution of the clustering steps.

benchmark machine-learning clustering gpu parallel-computing multithreading k-means unsupervised-learning clusters mini-batch-kmeans speedup parallel-programming unsupervised-machine-learning k-means-clustering euclidean-distances gpu-programming centroids perfomance-analysis mini-batching

Updated Jul 9, 2023
C++

WideEyesTech / mongo

The MongoDB Database with image similarity functions

fast cosine-similarity image-comparison features chi-square manhattan-distance euclidean-distances

Updated Jan 16, 2019
C++

anderson-pids / clustering-k_means

Classic k-means using euclidean distance in C++

clustering k-means euclidean-distances

Updated Sep 18, 2017
C++

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