Abstract
Triadic concept analysis (TCA) is a method of relational data analysis whose aim is to extract a hierarchically structured set of particular clusters from a three-way data describing objects, attributes, and conditions. We present two algorithms for the problem of computing all such clusters from a data describing degrees to which objects have attributes under conditions.
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Osicka, P. (2012). Algorithms for Computation of Concept Trilattice of Triadic Fuzzy Context. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31718-7_23
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DOI: https://doi.org/10.1007/978-3-642-31718-7_23
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