Conference paper accepted
15/03/21/09:11 Filed in: Conference paper
D. López-Rodríguez, P. Cordero, M. Enciso, Á. Mora. Clustering and identification of core implications. Int Con on Formal Concept Analysis (ICFCA), Strasbourg, 2021.
ABSTRACT FCA exhaustively uses the notion of cluster, by grouping attributes and objects and also providing a strong algebraic structure to them by means of the concept lattice. Our proposal explores how we can cluster implications. This work opens a research line in the direction of studying the knowledge inside the clusters computed from the Duquenne-Guigues basis. Some alternative measures to induce the clusters are analyzed, taking into account the information that directly appears in the appearance and in the semantics of the implications. This work also allows us to show to the FCA community the fcaR package, having the main methods of FCA and of the Simplification Logic. The paper ends with a motivation of the potential applications of performing clustering on the implications.
ABSTRACT FCA exhaustively uses the notion of cluster, by grouping attributes and objects and also providing a strong algebraic structure to them by means of the concept lattice. Our proposal explores how we can cluster implications. This work opens a research line in the direction of studying the knowledge inside the clusters computed from the Duquenne-Guigues basis. Some alternative measures to induce the clusters are analyzed, taking into account the information that directly appears in the appearance and in the semantics of the implications. This work also allows us to show to the FCA community the fcaR package, having the main methods of FCA and of the Simplification Logic. The paper ends with a motivation of the potential applications of performing clustering on the implications.