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Conference on Artificial Intelligence in Medicine in Europe

AIME 1995: Artificial Intelligence in Medicine pp 429–430Cite as

An approach to analysis of qualitative data with insufficient number of quantization levels

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 934))

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References

  1. Lebart L., Morineane A., Warwick K.M., Multivariate Descriptive Statistical Analysis, Correspondence Analysis and Related Techniques for Large Matrices, N.Y. Chichester, etc., J.Wiley&Sons 1985 p.231

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  2. Polikarpova N., Scatterplots for Qualitative Data: An Approach to Feature Extraction for Visual Display, Pattern Recognition and Image Analysis, Vol.4, N1, 1994, pp.39–47.

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  3. Yu.I.Zhuravlev, I.B.Gurevitch, Pattern Recognition and Image Recognition, Pattern Recognition and Image Analysis, Vol.1, N2, 1991, pp. 149–181.

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Authors and Affiliations

  1. Scientific Council “Cybernetics” of the Russian Academy of Sciences, Vavilov str.40, 117967, Moscow, Russian Federation

    Natalya Polikarpova

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  1. Natalya Polikarpova
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Pedro Barahona Mario Stefanelli Jeremy Wyatt

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© 1995 Springer-Verlag Berlin Heidelberg

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Polikarpova, N. (1995). An approach to analysis of qualitative data with insufficient number of quantization levels. In: Barahona, P., Stefanelli, M., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1995. Lecture Notes in Computer Science, vol 934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60025-6_172

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  • DOI: https://doi.org/10.1007/3-540-60025-6_172

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60025-1

  • Online ISBN: 978-3-540-49407-2

  • eBook Packages: Springer Book Archive

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