An overview of clustering algorithms

Proceedings of SPIE-The International Society for Optical Engineering

Volumn 4367, Issue , 2001, Pages 41-51

  Treshansky, Allyn ^a   McGraw, Robert ^a  

^a RAM Laboratories Inc   (United States)

Author keywords

Clustering algorithms

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; SET THEORY; STATISTICAL METHODS; VECTORS;

CLUSTERING ALGORITHMS;

INFORMATION SCIENCE;

EID: 0035758718     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.440039     Document Type: Article

References (9)

1. A.D. Gordon, Classification, Chapman & Hall/CRC, Boca Raton, second ed., 1999.
2. P. Arabie and L. Hubert, An Overview of Combinatorial Data Analysis. World Scientific Publishing Co. Pte. Ltd., 1996.
3. N. Hulth and P. Grenholm, "A distributed clustering algorithm," Tech. Rep. 74, Lund University Cognitive Studies, 1998.
4. P. Cheeseman and J. Stutz, "Bayesian classification (autoclass): Theory and results," Advances in Knowledge Discovery and Data Mining, 1996.
5. G. McLachlan and K. Basford, Mixture Models, Inference and Applications to Clustering, Marcel Dekker, Inc., New York, 1988.
6. J.M. Aldous and R.J. Wilson, Graphs and Applications, Springer, New York, 2000.
7. F.J. Rohlf, Single Link Clustering Algorithms. North-Holland Publishing Company, Amsterdam, 1982.
8. A. Rauber, J. Paralic, and E. Pampalk, "Empirical evaluation of clustering algorithms," Proceedings of the Eleventh International Conference on Information and Intelligent Systems (IIS'2000), 2000.
9. D. Dumitrescu, B. Lazzerini, and L.C. Jain, Fuzzy Sets and their Application to Clustering and Training, CRC Press, Boca Raton, 2000.