poster

Particle swarm clustering ensemble

Authors:

Abbas Ahmadi,

Fakhri Karray,

Mohamed KamelAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 159 - 160

https://doi.org/10.1145/1389095.1389118

Published: 12 July 2008 Publication History

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Abstract

Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recently. In this paper, an ensemble of particle swarm clustering algorithms is proposed. That is, the members of the ensemble are based on the cooperative swarms clustering approaches. The performance of the proposed particle swarm clustering ensemble is evaluated using di®erent data sets and is compared to that of other clustering techniques.

References

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[2]

A. Ahmadi, F. Karray and M. Kamel, Multiple Cooperating Swarms for Data Clustering," IEEE Proceedings of Swarm Intelligence Symposium 2007, pages 206-212.

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X. Cui, T.E. Potok and P. Palathingal, Document Clustering Using Particle Swarm Optimization," IEEE Proceedings of Swarm Intelligence Symposium 2005, pages 185-191.

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J. Kennedy, R.C. Eberhart and Y. Shi, Swarm Intelligence," Morgan Kaufman Publishers 2001.

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Cited By

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Zheng YLong ZWei CWang H(2021)Particle Swarm Optimization for Clustering Ensemble2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)10.1109/ISKE54062.2021.9755338(385-391)Online publication date: 26-Nov-2021
https://doi.org/10.1109/ISKE54062.2021.9755338
Kamalzadeh HAhmadi AMansour S(2020)Clustering time-series by a novel slope-based similarity measure considering particle swarm optimizationApplied Soft Computing10.1016/j.asoc.2020.10670196:COnline publication date: 1-Nov-2020
https://dl.acm.org/doi/10.1016/j.asoc.2020.106701
Mehmood YAziz NRiaz FIqbal HShahzad W(2018)PSO-based clustering techniques to solve multimodal optimization problems: A survey2018 1st International Conference on Power, Energy and Smart Grid (ICPESG)10.1109/ICPESG.2018.8417315(1-6)Online publication date: Apr-2018
https://doi.org/10.1109/ICPESG.2018.8417315
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Index Terms

Particle swarm clustering ensemble
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
  2. Information systems applications
    1. Data mining
      1. Clustering

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 12 July 2008

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Zheng YLong ZWei CWang H(2021)Particle Swarm Optimization for Clustering Ensemble2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)10.1109/ISKE54062.2021.9755338(385-391)Online publication date: 26-Nov-2021
https://doi.org/10.1109/ISKE54062.2021.9755338
Kamalzadeh HAhmadi AMansour S(2020)Clustering time-series by a novel slope-based similarity measure considering particle swarm optimizationApplied Soft Computing10.1016/j.asoc.2020.10670196:COnline publication date: 1-Nov-2020
https://dl.acm.org/doi/10.1016/j.asoc.2020.106701
Mehmood YAziz NRiaz FIqbal HShahzad W(2018)PSO-based clustering techniques to solve multimodal optimization problems: A survey2018 1st International Conference on Power, Energy and Smart Grid (ICPESG)10.1109/ICPESG.2018.8417315(1-6)Online publication date: Apr-2018
https://doi.org/10.1109/ICPESG.2018.8417315
Valente de Oliveira JSzabo Ade Castro L(2017)Particle Swarm Clustering in clustering ensemblesApplied Soft Computing10.1016/j.asoc.2017.01.03555:C(141-153)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1016/j.asoc.2017.01.035

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Particle swarm optimization with selective particle regeneration for data clustering

An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization

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