An algorithm for clustering with confidence-based must-link and cannot-link constraints

Philipp Baumann, Dorit S. Hochbaum

Year of publication:	2025
Authors:	Baumann, Philipp ; Hochbaum, Dorit S.
Published in:	INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 37.2025, 4, p. 1044-1068
Subject:	confidence levels \| constrained clustering \| integer programming \| machine learning \| must-link and cannot-link constraints \| semisupervised learning \| Algorithmus \| Algorithm \| Künstliche Intelligenz \| Artificial intelligence \| Theorie \| Theory \| Regionales Cluster \| Regional cluster \| Ganzzahlige Optimierung \| Integer programming \| Clusteranalyse \| Cluster analysis \| Lernprozess \| Learning process \| Mathematische Optimierung \| Mathematical programming

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1287/ijoc.2023.0419 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015453428