Abstract
In the present paper we initially intend to show the fundamental ideas behind the methodological achievements of Non Symmetrical Data Analysis from a geometrical point of view. We then focus on some of the most recent extensions by stressing and giving insights on their application aspects. Finally, we outline what seem to be the most promising directions of further research in this field.
This research was supported by the Italian MURST grant on ”Multivariate Analyses for Total Quality: Methodologies, Computational Aspects and Applications”. This paper is the result of a joint work between the authors. However, Carlo Lauro was mainly responsible for redacting Sections 1, 2, 3 and 4, while Vincenzo Esposito for redacting Sections 5 and 6.
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Lauro, C., Esposito, V. (2000). Non-Symmetrical Data Analysis Approaches: Recent Developments and Perspectives. In: Gaul, W., Opitz, O., Schader, M. (eds) Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58250-9_18
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DOI: https://doi.org/10.1007/978-3-642-58250-9_18
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