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https://github.com/khaledashrafh/k-means-clustering
This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.
https://github.com/khaledashrafh/k-means-clustering
euclidean-distances gcc-complier high-performance-computing k-means-algorithm k-means-clustering open-mp openmp parallel-processing
Last synced: about 2 months ago
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This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.
- Host: GitHub
- URL: https://github.com/khaledashrafh/k-means-clustering
- Owner: KhaledAshrafH
- License: mit
- Created: 2022-09-11T06:47:11.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-23T13:59:25.000Z (over 1 year ago)
- Last Synced: 2023-08-23T15:44:53.447Z (over 1 year ago)
- Topics: euclidean-distances, gcc-complier, high-performance-computing, k-means-algorithm, k-means-clustering, open-mp, openmp, parallel-processing
- Language: C
- Homepage:
- Size: 55.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0