Date of Award

August 2021

Degree Type

Thesis

Degree Name

Master of Science

Department

Computer Science

First Advisor

Susan McRoy

Committee Members

Jun Zhang, Tian Zhao

Keywords

Algorithms, Classification, Clustering, Music

Abstract

Classification and clustering of music genres has become an increasingly prevalent focusin recent years, prompting a push for research into relevant algorithms. The most successful algorithms have typically applied the Naive Bayes or k-Nearest Neighbors algorithms, or used Neural Networks to perform classification. This thesis seeks to investigate the use of unsupervised clustering algorithms such as K-Means or Hierarchical clustering, and establish their usefulness in comparison to or conjunction with established methods.

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