Abstract
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. © 2011 Springer-Verlag.
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CITATION STYLE
Ignatov, D. I., Kuznetsov, S. O., Magizov, R. A., & Zhukov, L. E. (2011). From triconcepts to triclusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6743 LNAI, pp. 257–264). https://doi.org/10.1007/978-3-642-21881-1_41
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