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Music Clustering Project

This repository contains my senior project work completed at Concordia University, Irvine in 2022. The project explores music clustering techniques and analysis, specifically for my use case in picking songs for my church's worship services.

Project Overview

This was my senior project focusing on music clustering analysis. The complete write-up and methodology can be found in final.pdf.

Repository Contents

  • final.pdf - Complete project write-up and analysis
  • final_source.pdf - Source code from the Jupyter Notebook implementation

Academic Context

This work was completed as part of my senior project requirements at Concordia University, Irvine in late 2022. While this serves primarily as an archive of my academic work, feel free to explore the methodology and findings detailed in the PDF files.

License

This project is primarily shared for academic reference. All rights reserved.

Questions?

If you have any questions about this research project, feel free to open an issue or reach out directly.

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