Multi-parameter hierarchical clustering and beyond

Alexander Rolle

Research output: Contribution to conferencePosterpeer-review

Abstract

We survey recent progress on multi-parameter hierarchical clustering, which has developed in several directions since it was introduced by Carlsson–Mémoli in 2010. These lines of research show that tools originally developed in the setting of multi-parameter persistent homology can be applied more broadly, without linearizing via homology.
Original languageEnglish
Publication statusPublished - 11 Dec 2020
EventTopological Data Analysis and Beyond Workshop at NeurIPS 2020 - Virtuell, Canada
Duration: 11 Dec 202011 Dec 2020
https://tda-in-ml.github.io/

Workshop

WorkshopTopological Data Analysis and Beyond Workshop at NeurIPS 2020
Country/TerritoryCanada
CityVirtuell
Period11/12/2011/12/20
Internet address

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