10_ml_clustering

Machine learning: clustering

By Gianluca Campanella ([email protected])

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

• Introduction to clustering
• Clustering using scikit-learn
• Exercises and solutions