Distributed consensus-based \(K\)-means algorithm in switching multi-agent networks

DOI10.1007/s11424-018-7102-3zbMath1405.93096OpenAlexW2885546234WikidataQ129386018 ScholiaQ129386018MaRDI QIDQ1757674

Yiguang Hong, Peng Lin, Yinghui Wang, Hong-Sheng Qi

Publication date: 15 January 2019

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-018-7102-3

zbMATH Keywords

multi-agent networkswitching topologyconsensus-based algorithmdistributed \(K\)-means clustering

Mathematics Subject Classification ID

Decentralized systems (93A14) Software, source code, etc. for problems pertaining to systems and control theory (93-04) Agent technology and artificial intelligence (68T42)

Related Items (2)

Distributed optimization for multi-agent system over unbalanced graphs with linear convergence rate ⋮ Adaptive guaranteed-performance consensus control for multi-agent systems with an adjustable convergence speed

Uses Software

• AS 136
• k-means++

Cites Work

• Unnamed Item
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• Algorithm AS 136: A K-Means Clustering Algorithm
• Distributed continuous-time approximate projection protocols for shortest distance optimization problems
• Distributed finite-time calculation of node eccentricities, graph radius and graph diameter
• Target aggregation of second-order multi-agent systems with switching interconnection
• Leader-following consensus for discrete-time multi-agent systems with parameter uncertainties based on the event-triggered strategy
• Stochastic sub-gradient algorithm for distributed optimization with random sleep scheme
• Constrained Clustering
• Least squares quantization in PCM
• Distributed Subgradient Methods for Multi-Agent Optimization

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