Parallel k-means Algorithm for Hyperspectral Image Classification
From csi702
Parallel Implementation of the k-means Clustering Algorithm for Unsupervised Classification of Hyperspectral Imagery
- Author: Thomas Boggs
This project evaluates the performance of parallel implementations of the k-means clustering algorithm using OpenMP, MPI, and a hybrid OpenMP/MPI approach. The algorithms are tested using a 608 MB hyperspectral image.
