Abstract
Chapters 12, 13 and 14 explain the grade approach to the analysis and understanding of multivariate data matrices. Chapters 12 and 14 are dedicated to readers oriented on practice of data analysis, Chapter 13 is dedicated to readers looking for the common frame of models and methods in three domains: data analysis, probability and statistics.
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© 2004 Springer-Verlag Berlin Heidelberg
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Szczesny, W. (2004). Grade approach to the analysis of finite data matrices. In: Kowalczyk, T., Pleszczyńska, E., Ruland, F. (eds) Grade Models and Methods for Data Analysis. Studies in Fuzziness and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39928-5_12
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DOI: https://doi.org/10.1007/978-3-540-39928-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53561-1
Online ISBN: 978-3-540-39928-5
eBook Packages: Springer Book Archive