Abstract
ClustanGraphics3 is a new interactive program for hierarchical cluster analysis. It can display shaded representations of proximity matrices, dendrograms and scatterplots for 11 clustering methods, with an intuitive user interface and new optimization features. Algorithms are proposed which optimize the rank correlation of the proximity matrix by seriation, compute cluster exemplars and truncate a large dendrogram and proximity matrix. ClustanGraphics3 is illustrated by a market segmentation study for automobiles and a taxonomy of 20 species based on the amino acids in their protein cytochrome-c molecules. The paper concludes with an overview.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
FITCH, W. M. and MARGOLIASH, E. (1967): Construction of phylogenetic trees, Science, 155, 279–284.
GALE N., HALPERIN, W. C. and COSTANZO, C. M. (1984): Unclassed matrix shading and optimal ordering in hierarchical cluster analysis, Journal of Classification, 1, 75–92.
GORDON, A. D. (1996): Hierarchical classification, in ARABIE, P., HUBERT, L. J., De SOETE, G. (Eds.), Clustering and Classification, World Scientific Publishing, River Edge, N. J., 65–121.
HARTIGAN, J. A. (1975): Clustering Algorithms, Wiley, 209.
WISHART, D. (1987): Clustan User Manual, Clustan Ltd, 16 Kingsburgh Road, Edinburgh.
WISHART, D. (1997): ClustanGraphics: Interactive graphics for cluster analysis, Journal of Comp. Sci. and Statistics, 29, 48–51.
WISHART, D. (1998): ClustanGraphics Primer: A Guide to Cluster Analysis, Clustan Ltd, 16 Kingsburgh Road, Edinburgh, pp 44.
WISHART, D. (1999): Clustering Methods for Large Data Problems, ISI Session on Statistical Aspects of Data Mining, Helsinki, 1999 (forthcoming).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Wishart, D. (1999). Clustan Graphics3 Interactive Graphics for Cluster Analysis. In: Gaul, W., Locarek-Junge, H. (eds) Classification in the Information Age. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60187-3_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-60187-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65855-9
Online ISBN: 978-3-642-60187-3
eBook Packages: Springer Book Archive