Skip to content

damir77d/Machine_Learning_clustering-of-Russian-regions

Repository files navigation

Unsupervised-Machine-Learning-clustering-of-Russian-regions

This project was created as a final project for the subject of "Spatial data analysis with numerical methods" during my master's studying at Potsdam University.

Overall, four ML clustering algorithms have been used: Gaussian Mixture, K-means, Spectral CLustering, Ward Tree.

BUND2.csv is a dataset that contains 11 features for 85 regions of Russia. Each feature is described in "Dataset info (rus).docx". It's in Russian but may be translated by demand.

bd

Releases

No releases published

Packages

No packages published