Algorithms for Computation of Concept Trilattice of Triadic Fuzzy Context

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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