alifrmf/Country-Profiling-Using-PCA-and-Clustering
Unsupervised Machine Learning Analysis Using Clustering Model
This helps humanitarian organizations group countries with similar economic, health, and social characteristics. You input a dataset containing various country-level indicators, and it outputs clusters of countries that share common traits. International aid strategists, analysts, and relief organizations can use this to make informed decisions about resource allocation.
No commits in the last 6 months.
Use this if you need to objectively categorize countries based on their developmental status for strategic planning or aid distribution, especially without predefined categories.
Not ideal if you already have clear categories or labels for countries and want to predict which category new countries fall into.
Stars
15
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/alifrmf/Country-Profiling-Using-PCA-and-Clustering"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scikit-learn-contrib/hdbscan
A high performance implementation of HDBSCAN clustering.
annoviko/pyclustering
pyclustering is a Python, C++ data mining library.
panagiotisanagnostou/HiPart
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
erdogant/clusteval
Clusteval provides methods for unsupervised cluster validation
mqcomplab/MDANCE
MDANCE: O(N) clustering for molecular dynamics. Process 1.5M frames in 40min. 8 specialized algorithms.