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Personal research project on examining different types of clustering algorithms, as well as investigate their impact when they are used in classification problem (cluster-based feature engineering)

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Alex-Mak-MCW/Clustering-Algorithms-Analysis-Project

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README.md
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codebase.ipynb
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project_code.ipynb
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Project Readme:

1. Summary

  • This research project is completed by Alex Mak in MATH 572 (Mathematical Modelling in Industry, Government, and Sciences) class taught in University of Alberta from October to December 2023.

2. Structure

There are 3 main files in this project:

  • The file input_data.csv is the dataset used for this project, it is provided by Dr. Russell Milne at the University of Alberta (https://russellmilne.com/teaching/gvrd-rangestd.csv)
  • codebase.ipynb is the jupyter notebook file that holds of my research for this project
  • project_code.ipynb is the jupyter notebook file that holds of my work. It is also the concised version from codebase.ipynb
  • Readme.md is the file you are reading now :)

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Personal research project on examining different types of clustering algorithms, as well as investigate their impact when they are used in classification problem (cluster-based feature engineering)

Topics

jupyter-notebook classification semi-supervised-learning clustering-algorithm optics-clustering dbscan-clustering gmm-clustering

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