Dealing with noise in ant-based clustering

2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings

Volumn 3, Issue , 2005, Pages 2395-2401

  Zaharie, Daniela ^a   Zamfirache, Flavia ^a  

^a WEST UNIVERSITY OF TIMISOARA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; PROBABILITY DENSITY FUNCTION; SIGNAL TO NOISE RATIO;

ANT-BASED CLUSTERING; CLUSTERING ALGORITHMS; CLUSTERING PROCESSES;

EVOLUTIONARY ALGORITHMS;

EID: 27144540961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cec.2005.1554993     Document Type: Conference Paper

References (8)

1. [Deneubourg, 1991] Deneubourg, J.L., Goss, S., Franks, N., Sendova-Franks, A., Detrain, C., Chrétien, L.,(1991) "The dynamics of collective sorting: robot-like ants and ant-like robots", in J.A. Meyer and S. Wilson (Eds.), Proc. of the first Intern. Conf. on Simulation of Adaptive Behaviour: From Animals to Animals 1, MIT Press, Cambridge, pp. 356-365.
2. [Ester, 1996] Ester, M., Kriegel, H.P., Sander, J. and Xu, X., (1996) "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise", Proc. of the Intern. Conf. on Knowledge Discovery and Data Mining, AAAI Press, pp. 226-231.
3. [Handl, 2003] Handl, J., Knowles, J. and Dorigo, M (2003) "Strategies for the Increased Robustness of Ant-based Clustering", Self-Organising Applications: Issues, challenges and trends, LNCS 2977, pp. 90-104.
4. [Hinneburg, 1998] Hinneburg, A. and Keim, D.A. (1998) "An Efficient Approach to Clustering in Large Multimedia Databases with Noise", Proc. of 4rd Intern. Conf. on Knowledge Discovery and Data Mining, AAAI Press, pp. 58-65.
5. [Labroche, 2002] Labroche, N., Monmarché, N. and Venturini, G. (2002) "A New Clustering Algorithm Based on the Chemical Recognition System of Ants", in Harmelen, F. van (Ed.) Proc. of the 15th European Conference on Artificial Intelligence, Lyon, France, pp. 345-349.
6. [Labroche, 2004] Labroche, N., Guinot, C. and Venturini, G. (2004) "Fast Unsupervised Clustering with Artificial Ants", X. Yao et al (Eds.): PPSN VIII, LNCS 3242, pp. 1143-1152.
7. [Lumer, 1994] Lumer, E., Faieta, B. (1994), "Diversity and Adaptation in Populations of Clustering Ants", in Proc. of the third Interm Conf. on Simulation of Adaptive Behavior: from Animals to Animats 3, MIT Press, Cambridge, MA, pp. 501-508.
8. [Nasraoui, 2004] Nasraoui O., Leon E., and Krishnapuram R. (2004), "Unsupervised Niche Clustering: Discovering an Unknown Number of Clusters in Noisy Data Sets", in A. Ghosh and L. C. Jain (Eds.), Evolutionary Computing in Data Mining, Springer Verlag, 2004.