A multiagent, multiobjective clustering algorithm

Data Mining and Multi-Agent Integration

Volumn , Issue , 2009, Pages 239-249

  Santos, Daniela S ^a   De Oliveira, Denise ^a   Bazzan, Ana L C ^a  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77956080978     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4419-0522-2_16     Document Type: Chapter

References (18)

1. Cao, L., Luo, C., Zhang, C.: Agent-mining interaction: An emerging area. In: AIS-ADM, Springer (2007)
2. Santos, C.T., Bazzan, A.L.C.: Integrating knowledge through cooperative negotiation-A case study in bioinformatics. In Gorodetsky, V., Liu, J., Skormin, V.A., eds.: Proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining. Number 3505 in Lecture Notes in Artificial Intelligence, Springer-Verlag (2005) 277-288
3. Faceli, K., Carvalho, A.C.P.L.F., Souto, M.C.P.: Multi-objective clustering ensemble. In: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (HIS 06), Washington, DC, USA, IEEE Computer Society (2006) 51
4. Kao, Y., Cheng, K.: An ACO-based clustering algorithm. In: Proceedings of the Fifth International Workshop on Ant Colony Optimization and Swarm Intelligence-ANTS 2006. Volume 4150 of Lecture Notes in Computer Science., Brussels, Belgium, Springer (2006) 340-347
5. Lumer, E.D., Faieta, B.: Diversity and adaptation in populations of clustering ants. In: Proceedings of the third international conference on Simulation of adaptive behavior: from animals to animats, Cambridge, MA, USA, MIT Press (1994) 501-508
6. Shelokar, P.S., Jayaraman, V.K., Kulkarni, B.D.: An ant colony approach for clustering. Ana-lytica Chimica Acta 509 (2004) 187-195
7. Yang, Y., Kamel, M.: Clustering ensemble using swarm intelligence. In: Proceedings of the Swarm Intelligence Symposium (SIS 03), Indianapolis, USA (2003) 65-71
8. Yang, Y., Kamel, M.: An aggregated clustering approach using multi-ant colonies algorithms. Pattern Recongnition 39 (2006) 1278-1289
9. Handl, J., Konwles, J.: Exploiting the trade-off-The benefits of multiple objectives in data clustering. In: Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), Springer Verlag (2005) 547-560
10. Camazine, S., Deneubourg, J.D., Franks, N.R., Sneyd, J., Theraulaz, G., Bonabeau, E.: Self-Organization in Biological Systems. Princeton University Press, Princeton, N.J. (2003)
11. Gordon, D.: The organization of work in social insect colonies. Nature 380 (1996) 121-124
12. Bonabeau, E., Theraulaz, G., Dorigo, M.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York, USA (1999)
13. Dorigo, M., Maniezzo, V., Colorni, A.: Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics 26 (1996) 29-41
14. Strehl, A., Ghosh, J.: Cluster ensembles: a knowledge reuse framework for combining par-titionings. In: Proceedings of the Eighteenth National Conference Intelligence, Menlo Park, CA, USA, American Association for Artificial Intelligence (2002) 93-98
15. Deneubourg, J.L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., Chrétien, L.: The dynamics of collective sorting: Robot-like ant and ant-like robot. In: Proceedings of the First Conference on Simulation of Adaptive Behavior: From Animals to Animats, Canbridge, MA, USA, MIT Press (1991) 356-363
16. Agogino, A., Tumer, K.: Efficient agent-based cluster ensembles. In Stone, P., Weiss, G., eds.: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, AAMAS '06, New York, NY, USA, ACM (2006) 1079-1086
17. Ertöz, L., Steinbach, M., Kumar, V.: A new shared nearest neighbor clustering algorithm and its applications. In: Proceedings of the International Conference on Data Mining (2nd SIAM). Volume 4., VA, IEEE Press (2002) 2642-2647
18. Asuncion, A., Newman, D.J.: UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences (2007) http://www.ics.uci.edu/∼mlearn/MLRepository.html.