Summary
This paper presents an ESPRIT European project, whose goal is to develop a prototype software for symbolic data analysis. Symbolic data analysis is an extension of standard methods of data analysis (such as clustering, discrimination, or factorial analysis) to more complex data structures, called symbolic objects. After a short presentation of the model of symbolic objects, the different parts of the software are briefly described.
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© 1998 Springer Japan
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Hébrail, G. (1998). The SODAS Project: a Software for Symbolic Data Analysis. In: Hayashi, C., Yajima, K., Bock, HH., Ohsumi, N., Tanaka, Y., Baba, Y. (eds) Data Science, Classification, and Related Methods. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65950-1_43
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DOI: https://doi.org/10.1007/978-4-431-65950-1_43
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-70208-5
Online ISBN: 978-4-431-65950-1
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