Data clustering via cooperative games: a novel approach and comparative study

DOI10.1016/j.ins.2020.09.018zbMath1475.62183OpenAlexW3088973902MaRDI QIDQ2054061

André L. V. Coelho, Nelson C. Sandes

Publication date: 30 November 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.09.018

zbMATH Keywords

coalitionsShapley valuecooperative game theorydata clusteringhedonic gamesNash stability

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Cooperative games (91A12) Applications of game theory (91A80)

Uses Software

• UCI-ml
• apcluster
• APCluster
• k-means++

Cites Work

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• Clustering by Passing Messages Between Data Points
• The stability of hedonic coalition structures
• How fast is the \(k\)-means method?
• Principal component analysis.
• Model-based clustering
• On a Monotonicity Problem in Step-Down Multiple Test Procedures
• A Method for Comparing Two Hierarchical Clusterings
• COALITION FORMATION GAMES: A SURVEY
• 10.1162/153244303321897735
• Game Theory
• Hedonic Games
• Algorithmic Game Theory

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