Dasgupta's objective
id:
dasgupta-s-objective-243-9431178
title:
Dasgupta's objective
text:
In the study of hierarchical clustering, Dasgupta's objective is a measure of the quality of a clustering, defined from a similarity measure on the elements to be clustered. It is named after Sanjoy Dasgupta, who formulated it in 2016. Its key property is that, when the similarity comes from an ultrametric space, the optimal clustering for this quality measure follows the underlying structure of the ultrametric space. In this sense, clustering methods that produce good clusterings for this objec
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https://en.wikipedia.org/wiki/Dasgupta%27s_objective
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date modified:
2023-11-28T21:47:40Z
main entity:
{"identifier":"Q65053061","url":"https://www.wikidata.org/entity/Q65053061"}
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