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TRIPAT: a model for analyzing three-mode binary data
Krolak-Schwerdt, Sabine; Orlik, Peter; Ganter, Bernhard
1994In H. H. Bock; Lenski, W.; M. M. Richter (Eds.) Studies in classification, data analysis, and knowledge organization Information systems and data analysis. Prospects - foundations - applications
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Abstract :
[en] A discrete, categorical model is presented for three-mode (conditions by objects by attributes) data arrays with binary entries xijk 2 f0; 1g. Basically, the model attempts a simultaneous classification of the entities or elements of the three modes in a number of common clusters. Clusters are denied by three-mode submatrices of maximum size with entries xijk = 1. In performing a discrete representation of the data structure, the model may be classified as a non-hierarchical clustering procedure. It involves a reorganization of the data array such that the clustering solution is interpreted directly on the data, and it allows for overlapping as well as nonoverlapping clusters. The method is similar to three-mode component models such as CANDECOMP and SUMMAX in the model function to predict the data. An application concerning recall data in a study of social perception is provided.
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Identifiers :
UNILU:UL-CHAPTER-2011-137
Author, co-author :
Krolak-Schwerdt, Sabine ;  University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Languages, Culture, Media and Identities (LCMI)
Orlik, Peter
Ganter, Bernhard
Language :
English
Title :
TRIPAT: a model for analyzing three-mode binary data
Publication date :
1994
Main work title :
Studies in classification, data analysis, and knowledge organization Information systems and data analysis. Prospects - foundations - applications
Editor :
H. H. Bock
Lenski, W.
M. M. Richter
Publisher :
Springer, Berlin, Unknown/unspecified
Collection name :
Vol. 4: Information systems and data analysis. Prospects - foundations - applications
Pages :
298 - 307
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 12 October 2013

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