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Introduction to Machine Learning

COMP70091 Spring Term 2024/2025

Module 6

Unsupervised Learning

  • Introduction to Module 6
  • General concept of Clustering
  • The K-means algorithm
  • K-mean, hyper-parameter tuning, strengths and weaknesses
  • Probability density estimation
  • PDE - Non-parametric approaches
  • PDE - Parametric approaches
  • GMM-EM
  • GMM-EM - Hyper-parameter tuning
  • Quiz - Unsupervised Learning

Probability density estimation

For the second main topic of this lecture, we will cover a few algorithms for Probability Density Estimation (PDE):

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