diogit / ML-Project-2

Machine Learning 2nd Project - Clustering Algorithms Comparison.

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Clustering Algorithms Comparison - comparing the performance of the clustering algorithms: K-means, DBSCAN and Gaussian Mixture Model

Made by:

  • Diogo SilvĂ©rio (Self)
  • Pedro Xavier

Folder Content:

README.md -> this file

report.pdf -> the project report

Mollweide_projection_SW.jpg -> image used in the code

tp2_data.csv -> the data used

tp2.py -> the code

Note: the report is written in Portuguese.

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Machine Learning 2nd Project - Clustering Algorithms Comparison.


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