Applications of ordinal factor analysis
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Ordinal factorisation is a factor analytical tool based on Formal Concept Analysis. It groups the so-called Boolean factors, given by suitable formal concepts, into well-structured families that can be interpreted as many-valued factors. In this paper we put the ordinal factorisation to work by testing it on well-documented medical data. We also compare the results with those obtained by established data reduction methods.
Details
| Original language | English |
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| Title of host publication | Formal Concept Analysis - 11th International Conference, ICFCA 2013, Proceedings |
| Pages | 109-124 |
| 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
- Formal Concept Analysis, Guttman scales, medical data, ordinal data