Distributed Center-Based Clustering: A Unified Framework

We develop a family of distributed center-based clustering algorithms that work over connected networks of users. In the proposed scenario, users contain a local dataset and communicate only with their immediate neighbours, with the aim of finding a clustering of the full, joint data. The proposed f...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 73; S. 903 - 918
Hauptverfasser:	Armacki, Aleksandar, Bajovic, Dragana, Jakovetic, Dusan, Kar, Soummya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Clustering Clustering algorithms consensus Convergence Costs Distributed databases Europe first-order methods fixed points Logistics networks peer-to-peer Peer-to-peer computing Privacy Servers Signal processing algorithms
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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