https://github.com/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 omparison between the sequential and parallel execution of the clustering steps.

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

Last synced: 11 Feb 2026