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Book Sections Year : 2019

Order-preserving Biclustering Based on FCA and Pattern Structures

Nyoman Juniarta
Miguel Couceiro
Amedeo Napoli

Abstract

Biclustering is similar to formal concept analysis (FCA), whose objective is to retrieve all maximal rectangles in a binary matrix and arrange them in a concept lattice. FCA is generalized to more complex data using pattern structure. In this article, we explore the relation of biclustering and pattern structure. More precisely, we study the order-preserving biclusters, whose rows induce the same linear order across all columns.
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Dates and versions

hal-02181585 , version 1 (12-07-2019)

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Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli. Order-preserving Biclustering Based on FCA and Pattern Structures. Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco; Elio Masciari; Zbigniew W. Ras. Complex Pattern Mining: New Challenges, Methods and Applications, Springer Series on Studies in Computational Intelligence, pp.47-62, 2019, 978-3-030-36617-9. ⟨10.1007/978-3-030-36617-9_4⟩. ⟨hal-02181585⟩
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