Integrating robust clustering techniques in S-PLUS

Computational Statistics and Data Analysis

Volumn 26, Issue 1, 1997, Pages 17-37

  Struyf, Anja ^a   Hubert, Mia ^a   Rousseeuw, Peter J ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Fuzzy clustering; Graphics; Medoids; Object oriented programming; Statistical software

Indexed keywords

ALGORITHMS; COMPUTER SOFTWARE; FUZZY SETS; GRAPHICAL USER INTERFACES; ROBUSTNESS (CONTROL SYSTEMS); STATISTICAL METHODS;

CLUSTER ANALYSIS;

OBJECT ORIENTED PROGRAMMING;

CLUSTERING; OBJECT-ORIENTED PROGRAMMING; S-PLUS; STATISTICAL SOFTWARE;

EID: 0031556739     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(97)00020-0     Document Type: Article

References (16)

1. Chambers, J.M., Hastie, T.J., 1991. Statistical models in S. Wadsworth, California.
2. Eurostat, 1994. Cijfers en feiten: Een statistisch portret van de Europese Unie.
3. Gower, J.C., 1971. A general coefficient of similarity and some of its properties. Biometrics 27, 857-871.
4. Hartigan, J.A., Wong, M.A., 1979. A k-means clustering algorithm. Appl. Stat. 28, 100-108.
5. Kaufman, L., Rousseeuw, P.J., 1986. Clustering large data sets (with discussion). In: E.S. Gelsema, L.N. Kanal (Eds.), Pattern Recognition in Practice II. North-Holland, Amsterdam, pp. 425-437.
6. 1 Norm. North-Holland, Amsterdam, pp. 405-416.
7. Kaufman, L., Rousseeuw, P.J., 1990. Finding Groups in Data. Wiley, New York.
8. Lance, G.N., Williams, W.T., 1966. A general theory of classificatory sorting strategies: 1. Hierarchical systems. Computer J. 11, 195.
9. Macnaughton-Smith, P., Williams, W.T., Dale, M.B., Mockett, L.G., 1964. Dissimilarity analysis: a new technique of hierarchical sub-division. Nature 202, 1034-1035.
10. MacQueen, J., 1967. Some methods for classification and analysis of multivariate observations. In: L. Le Cam, J. Neyman (Eds.), 5th Berkeley Symp. Math. Statist. Prob., vol. 1, pp. 281-297.
11. Rousseeuw, P.J., 1986. A visual display for hierarchical classification. In: E. Diday, Y. Escoufier, L. Lebart, J, Pagés, Y. Schektman, R. Tomassone (Eds.), Data Analysis and Informatics, vol. 4, North-Holland, Amsterdam, pp. 743-748.
12. Rousseeuw, P.J., 1987. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53-65.
13. Rousseeuw, P.J., 1995. Discussion: fuzzy clustering at the intersection. Technometrics 37, 283-286.
14. Ruspini, E.H., 1970. Numerical methods for fuzzy clustering. Inform. Sci. 2, 319-350.
15. Statistical Sciences, 1993. S-PLUS Programmer's Manual, Version 3.2, StatSci, a division of MathSoft, Seattle.
16. Williams, W.T., Lambert, J.M., 1959. Multivariate methods in plant ecology, I. Association-analysis in plant communities. J. Ecology 47, 83-101.