Day 6 - Clustering
A review of clustering approaches and interpretation of clustering results.
Topics
Clustering High-Dimensional Data
- Similarity measures
- Clustering techniques
Evaluation of Clustering Results
- Within- and between-cluster distances
- Silhouette plots and other visualizations
- Comparing clusterings
- Bootstrapping
Consensus Clustering
Materials
Notes Exercises SolutionsYou need to be logged into your GitHub account to be able to access materials hosted in the private class repository.
Logistics
Date 22 August 2016
Time 10 am to 12 pm (Instruction) / 1 pm to 2 pm (Intro to Exercises and Q&A) / 4 pm to 5 pm (Q&A)
Room Countway 403
Teaching Staff
Nils Gehlenborg (Course Director)
Tiziana Sanavia (Teaching Assistant)