Multidimensional scaling of interval-valued dissimilarity data

Pattern Recognition Letters

Volumn 21, Issue 1, 2000, Pages 83-92

  Denoeux T ^a   Masson, M ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

Author keywords

Data visualization; Exploratory data analysis; Interval valued data; Multidimensional scaling

Indexed keywords

APPROXIMATION THEORY; DATA REDUCTION;

DATA VISUALIZATION; EXPLORATORY DATA ANALYSIS; MULTIDIMENSIONAL SCALING (MDS);

PATTERN RECOGNITION;

EID: 0033898684     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00135-X     Document Type: Article

References (10)

1. Borg I., Groenen P. Modern Multidimensional Scaling. 1997;Springer, New-York.
2. Cazes P., Chouakria A., Diday E., Schektman Y. Extension de l'analyse en composantes principales à des données de type intervalle. Revue de Statistique Appliquée. 14(3):1997;5-24.
3. Cox T.F., Cox M.A.A. Multidimensional Scaling. 1994;Chapman & Hall, London.
4. Deterding, D.H., 1989. Speaker normalisation for automatic speech recognition. Ph.D. thesis, University of Cambridge.
5. Gowda K.C., Diday E. Symbolic clustering using a new similarity measure. IEEE Transactions on Systems, Man and Cybernetics. 22(2):1992;368-378.
6. Ichino M., Yaguchi H. Generalized Minkowski metrics for mixed type data analysis. IEEE Transactions on Systems, Man and Cybernetics. 24(4):1994;698-708.
7. Kruskal J.B. Nonmetric multidimensional scaling: a numerical method. Psychometrika. 29(2):1964;115-129.
8. Murphy, P.M., Aha, D.W. 1994. UCI Repository of machine learning databases (Machine-readable data repository). Department of Information and Computer Science, University of California, Irvine, CA.
9. Nagabhushan P., Chidananda Gowda K., Diday E. Dimensionality reduction of symbolic data. Pattern Recognition Letters. 16:1995;219-223.
10. Ripley B.D. Pattern Recognition and Neural networks. 1996;Cambridge University Press, Cambridge.