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Erschienen in:
2011 | OriginalPaper | Buchkapitel
From Triconcepts to Triclusters
verfasst von : Dmitry I. Ignatov, Sergei O. Kuznetsov, Ruslan A. Magizov, Leonid E. Zhukov
Erschienen in: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Verlag: Springer Berlin Heidelberg
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A novel approach to triclustering of a three-way binary data is proposed. Tricluster is defined in terms of Triadic Formal Concept Analysis as a dense triset of a binary relation
Y
, describing relationship between objects, attributes and conditions. This definition is a relaxation of a triconcept notion and makes it possible to find all triclusters and triconcepts contained in triclusters of large datasets. This approach generalizes the similar study of concept-based biclustering.