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Machine learning: clustering

By Gianluca Campanella ([email protected])

Creative Commons License

Objectives

By the end of the session, you should be able to:

  • Describe the main differences between clustering and classification
  • Define the curse of dimensionality and how it affects k-means
  • Use scikit-learn to perform k-means clustering

Plan

The session is designed to be delivered over three hours (including breaks).

Topic Time
Introduction to clustering 45 minutes
Clustering using scikit-learn 45 minutes
Exercises 60 minutes

Materials