Multi-parameter hierarchical clustering and beyond

Alexander Rolle

Multi-parameter hierarchical clustering and beyond

Alexander Rolle

Institut für Geometrie (5070)

Publikation: Konferenzbeitrag › Poster › Begutachtung

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.

Originalsprache	englisch
Publikationsstatus	Veröffentlicht - 11 Dez. 2020
Veranstaltung	Topological Data Analysis and Beyond Workshop at NeurIPS 2020 - Virtuell, Kanada Dauer: 11 Dez. 2020 → 11 Dez. 2020 https://tda-in-ml.github.io/

Workshop

Workshop	Topological Data Analysis and Beyond Workshop at NeurIPS 2020
Land/Gebiet	Kanada
Ort	Virtuell
Zeitraum	11/12/20 → 11/12/20
Internetadresse	https://tda-in-ml.github.io/

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abstract = "We survey recent progress on multi-parameter hierarchical clustering, which has developed in several directions since it was introduced by Carlsson–M{\'e}moli 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.",

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AB - 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.

M3 - Poster

T2 - Topological Data Analysis and Beyond Workshop at NeurIPS 2020

Y2 - 11 December 2020 through 11 December 2020

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Multi-parameter hierarchical clustering and beyond

Abstract

Workshop

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