Abstract
In this paper we derive a two group-linear discriminant function (LDF) by minimizing Gini’s transvariation probability. This solution is a special case of projection pursuit methods and improves the performances of Fisher’s LDF when the conditions which guarantee its optimality do not hold.
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References
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© 1998 Springer-Verlag Berlin · Heidelberg
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Montanari, A., Calò, D.G. (1998). Two Group Linear Discrimination Based on Transvariation Measures. In: Rizzi, A., Vichi, M., Bock, HH. (eds) Advances in Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72253-0_35
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DOI: https://doi.org/10.1007/978-3-642-72253-0_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64641-9
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