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- W2095920796 abstract "Most clustering methods rely on central data structures and/or cannot cope with dynamically changing settings. However, issues related to the current use of Internet resources (distribution of data, privacy, etc.) require new ways of dealing with data clustering. In multiagent systems this is also becoming an issue as one wishes to group agents in an efficien way and according to some features of the environment. In this paper we briefl discuss how a distributed clustering algorithm that is inspired by swarm intelligence techniques is used in problems of task allocation." @default.
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- W2095920796 date "2010-05-10" @default.
- W2095920796 modified "2023-09-28" @default.
- W2095920796 title "Distributed clustering for group formation and task allocation" @default.
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- W2095920796 doi "https://doi.org/10.5555/1838206.1838416" @default.
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