Open AccessOrder-Preserving Biclustering Based on FCA and Pattern Structures
Author(s) -
Nyoman Juniarta,
Miguel Couceiro,
Amedeo Napoli
Publication year - 2020
Publication title -
studies in computational intelligence
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.185
H-Index - 68
eISSN - 1860-9503
pISSN - 1860-949X
DOI - 10.1007/978-3-030-36617-9_4
Subject(s) - biclustering , row , row and column spaces , formal concept analysis , computer science , order (exchange) , pattern recognition (psychology) , mathematics , data mining , artificial intelligence , algorithm , cluster analysis , database , finance , economics , cure data clustering algorithm , correlation clustering
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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