Abstract
Ordinal factorisation is a factor analytical tool based on Formal Concept Analysis. It groups the so-called Boolean factors, given by suitable formal concepts, into well-structured families that can be interpreted as many-valued factors. In this paper we put the ordinal factorisation to work by testing it on well-documented medical data. We also compare the results with those obtained by established data reduction methods.
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Glodeanu, C.V., Ganter, B. (2013). Applications of Ordinal Factor Analysis. In: Cellier, P., Distel, F., Ganter, B. (eds) Formal Concept Analysis. ICFCA 2013. Lecture Notes in Computer Science(), vol 7880. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38317-5_7
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DOI: https://doi.org/10.1007/978-3-642-38317-5_7
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