Classification Methods – Ep. 3: K-Nearest neighbor (The Lazy Learner)

28/4/2021, 13-14.30u
online course

In k-NN classification, one uses the other available observations that are most similar (based on the predictors at hand) to the observation we are trying to predict (classify into a group). In this seminar you are going to be introduced to the KNN algorithm and how to choose K. You will also be introduced to model evaluation and other considerations. The KNN method will be explored using examples in the R statistical software package.



  • part of the Doctoral Programme
  • Target group: PhD’s (intermediate level)

Ready to get started?

All practical information can be found at the education pages on the website of the University of Ghent