Startseite
English
Erweiterte Suche
Durchblättern nach ...
Publikationen im Überblick
Ansprechpartner
Hilfe
Verlagsversion
 |
|
möglich sobald bei der ZB eingereicht worden ist.
p-value adjustment for monotonous, unbiased, and fast clustering comparison.
In: (Advances in Neural Information Processing Systems). 2023. (Advances in Neural Information Processing Systems ; 36)
Popular metrics for clustering comparison, like the Adjusted Rand Index and the Adjusted Mutual Information, are type II biased. The Standardized Mutual Information removes this bias but suffers from counterintuitive non-monotonicity and poor computational efficiency. We introduce the p-value adjusted Rand Index (PMI2), the first cluster comparison method that is type II unbiased and provably monotonous. The PMI2 has fast approximations that outperform the Standardized Mutual information. We demonstrate its unbiased clustering selection, approximation quality, and runtime efficiency on synthetic benchmarks. In experiments on image and social network datasets, we show how the PMI2 can help practitioners choose better clustering and community detection algorithms.
Weitere Metriken?
Zusatzinfos bearbeiten
[➜Einloggen]
Publikationstyp
Artikel: Konferenzbeitrag
ISSN (print) / ISBN
1049-5258
Konferenztitel
Advances in Neural Information Processing Systems
Quellenangaben
Band: 36
Nichtpatentliteratur
Publikationen
Institut(e)
Institute of AI for Health (AIH)