Reference : TRIPAT: a model for analyzing three-mode binary data
Parts of books : Contribution to collective works
Social & behavioral sciences, psychology : Multidisciplinary, general & others
http://hdl.handle.net/10993/8211
TRIPAT: a model for analyzing three-mode binary data
English
Krolak-Schwerdt, Sabine mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Languages, Culture, Media and Identities (LCMI) >]
Orlik, Peter [> >]
Ganter, Bernhard [> >]
1994
Studies in classification, data analysis, and knowledge organization Information systems and data analysis. Prospects - foundations - applications
H. H. Bock
Lenski, W.
M. M. Richter
Springer
Vol. 4: Information systems and data analysis. Prospects - foundations - applications
298 - 307
Yes
Berlin
[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.
http://hdl.handle.net/10993/8211

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