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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Vydané v:	IEEE transactions on signal processing Ročník 73; s. 903 - 918
Hlavní autori:	Armacki, Aleksandar, Bajovic, Dragana, Jakovetic, Dusan, Kar, Soummya
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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