• 3.1 Overview Classification

  • 3.1.1 Overview Classification
  • 3.1.2 Reading Material

• 3.2 Classification Basics

  • 3.2.1 Terminology & Basics
  • 3.2.2 Building a “Simple” Classifier Using Histograms
  • 3.2.3 The Bayes Error

• 3.3 Nearest Means and Nearest Neighbours

  • 3.3.1 Building a “Simple” Classifier Using Nearest Means
  • 3.3.2 Building a “Simple” Classifier Using Nearest Neighbours
  • 3.3.3 How to use the KNN Classifier in Practice