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An agent-based clustering algorithm using potential fields

Soleymani Baghshah, M ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/AICCSA.2008.4493586
  3. Publisher: 2008
  4. Abstract:
  5. In this paper, a novel clustering algorithm using an agent-based architecture along with a force-based clustering algorithm is proposed. To this end, a set of simple mobile agents thai have limited processing power is used. These agents communicate in a pairwise manner to exchange their position information. As opposed to the bio-inspired clustering algorithms that need a set of local rules to specify the agent movements, in this paper the agent motions are driven from attractive and repulsive potential fields that are created by the data points and the other agents respectively. Each agent moves according to the resulted force from applying the potential fields and announces its next position to the other agents. The movement of agents is continued until all of them reach equilibrium points. ©2008 IEEE
  6. Keywords:
  7. Agents ; Cluster analysis ; Computer applications ; Computer systems ; Financial data processing ; Flow of solids ; Mobile agents ; Set theory ; Agent based architectures ; Agent-based ; Bio-inspired ; Data points ; Equilibrium points ; International conferences ; Local rules ; Novel clustering ; Position information ; Potential fields ; Processing power ; Repulsive potential fields ; Clustering algorithms
  8. Source: 6th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2008, Doha, 31 March 2008 through 4 April 2008 ; 2008 , Pages 551-558 ; 9781424419685 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4493586