https://github.com/mciccale/countries-clustering
Given a dataset with information about 167 countries, the goal of this experiment is to segmentate the countries in clusters to then determine which groups may need help more urgently using clustering techniques.
https://github.com/mciccale/countries-clustering
agglomerative-clustering clustering kmeans machine-learning probabilistic-c
Last synced: about 1 year ago
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Given a dataset with information about 167 countries, the goal of this experiment is to segmentate the countries in clusters to then determine which groups may need help more urgently using clustering techniques.
- Host: GitHub
- URL: https://github.com/mciccale/countries-clustering
- Owner: mciccale
- Created: 2024-05-10T10:41:52.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-05-13T16:28:21.000Z (about 2 years ago)
- Last Synced: 2024-05-13T18:25:08.390Z (about 2 years ago)
- Topics: agglomerative-clustering, clustering, kmeans, machine-learning, probabilistic-c
- Language: Jupyter Notebook
- Homepage:
- Size: 3.86 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Countries Clustering
In order to determine what countries may need humanitarian help at the moment, a clustering analysis may be a good starting point.
Given a dataset with information about 167 countries, the goal of this experiment is to segmentate the countries in clusters to then determine which groups may need help more urgently.