Theoretical comparison of Relational Concept Analysis (RCA) and Graph-FCA (GCA)
Résumé
Relational Concept Analysis (RCA) and Graph-FCA (GCA) are two extensions of Formal Concept Analysis (FCA) introduced in order to allow concept analysis on multi-relational data. The two methods have different properties and parameters, but when restricting to binary relationships, existential quantifier and unary concepts, their outputs look similar. On this basis, a theoretical comparison of the two methods is conducted, showing that each RCA concept corresponds to a GCA concept. Furthermore, to allow the comparison of concept intensions, a transformation of RCA results into relational patterns is performed. These results give a sound basis to help interpreting RCA results and to combine the two approaches for data exploration.
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