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 Solutions

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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)