00:00:00 / 00:00:00

Clustering with tangles

By Ulrike von Luxburg, Solveig Klepper

Appears in collection : Machine Learning and Signal Processing on Graphs / Apprentissage automatique et traitement du signal sur graphes

Originally, tangles were invented as an abstract tool in mathematical graph theory to prove the famous graph minor theorem. In the talk, I will showcase the potential of tangles in machine learning applications. Given a collection of cuts of any dataset, tangles aggregate these cuts to point in the direction of a dense structure. As a result, a cluster is softly characterized by a set of consistent pointers. This highly flexible approach can solve clustering problems in various setups, ranging from questionnaires over community detection in graphs to clustering points in metric spaces.

Information about the video

Citation data

  • DOI 10.24350/CIRM.V.19982203
  • Cite this video von Luxburg, Ulrike; Klepper, Solveig (10/11/2022). Clustering with tangles. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19982203
  • URL https://dx.doi.org/10.24350/CIRM.V.19982203

Domain(s)

Last related questions on MathOverflow

You have to connect your Carmin.tv account with mathoverflow to add question

Ask a question on MathOverflow




Register

  • Bookmark videos
  • Add videos to see later &
    keep your browsing history
  • Comment with the scientific
    community
  • Get notification updates
    for your favorite subjects
Give feedback