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STABLE: a visual environment for the study of multivariate data

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Advances in Data Science and Classification

Abstract

STABLE is a European Union funded project that provides a completely new approach to statistical programming, analysis and visualisation. The system combines the statistical algorithms from the Genstat statistical system with the sophisticated visualisation and flexible visual programming environment of the IRIS Explorer system to provide a unique environment for exploring statistical data. The system will provide a stimulating environment for programming and investigating new multivariate techniques, and then powerful techniques for making them available in encapsulated IRIS Explorer modules with suitably customized interfaces.

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References

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  • Payne, R.W., Lane, P.W., Digby, P.G.N., Harding, S.A., Leech, P.K., Morgan, G.W., Todd, A.D., Thompson. R., Tunnicliffe Wilson, G., Welham, S.J. & White, R.P. (1993). Genstat 5 Reference Manual, Release 3. Oxford University Press, Oxford.

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© 1998 Springer-Verlag Berlin · Heidelberg

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Payne, R.W., Harding, S.A. (1998). STABLE: a visual environment for the study of multivariate data. In: Rizzi, A., Vichi, M., Bock, HH. (eds) Advances in Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72253-0_43

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  • DOI: https://doi.org/10.1007/978-3-642-72253-0_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64641-9

  • Online ISBN: 978-3-642-72253-0

  • eBook Packages: Springer Book Archive

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