Abstract
Starting from an analysis of the qualities of descriptions and of the observational mechanisms, this paper illustrates the interest of using a “naturally” structured representation of observational data. A particular attention is given to the formalization of descriptive concepts and their corresponding representation from a biological point of view. The main goal is to build classification (class definition) and identification systems that take into account diversity, inter-dependancy and variability of observed characters and to handle incomplete information.
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© 1994 Springer-Verlag Berlin Heidelberg
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Le Renard, J., Conruyt, N. (1994). On the representation of observational data used for classification and identification of natural objects. In: Diday, E., Lechevallier, Y., Schader, M., Bertrand, P., Burtschy, B. (eds) New Approaches in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51175-2_36
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DOI: https://doi.org/10.1007/978-3-642-51175-2_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58425-4
Online ISBN: 978-3-642-51175-2
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