Tri-ordinal factor analysis
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
We present a new factor analytical technique for three-way data based on Triadic Concept Analysis. Previous works in this direction focused on reducing the complexity of triadic data by using triadic concepts. In this paper we propose a method of grouping these concepts into well-structured families such that the factors can be interpreted as many-valued ones. Thereby we lift the already existing theory of ordinal factorisations to the triadic setting.
Details
Original language | English |
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Title of host publication | Formal Concept Analysis - 11th International Conference, ICFCA 2013, Proceedings |
Pages | 125-140 |
Number of pages | 16 |
Publication status | Published - 2013 |
Peer-reviewed | Yes |
Publication series
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 7880 LNAI |
ISSN | 0302-9743 |
Conference
Title | 11th International Conference on Formal Concept Analysis, ICFCA 2013 |
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Duration | 21 - 24 May 2013 |
City | Dresden |
Country | Germany |
Keywords
ASJC Scopus subject areas
Keywords
- Factor Analysis, three-mode data, three-way, Triadic Concept Analysis