Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Efficient agent-based cluster ensembles
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
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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.