This article does not exactly replicate the final version published in the journal [Journal of Media Psychology]. It is not a copy of the original published article and is not suitable for citation.
[en] In this paper a discrete, categorical model is proposed for two-:
mode data matrices with binary entries Xij E {0, 1}. The method operates
directly upon a raw input (objects by attributes) data array by determining
two-mode submatrices whose entries entirely have values x;j = 1. In
addition, different submatrices are required to have a minimum set of objectattribute-
pairs in common. Objects and attributes are classified simultaneously
in a number ofjoint clusters. The method may be characterized as a
non-hierarchical clustering procedure and in its model function to predict the
data it is similar to Boolean factor analyis. Basically, the proposed method
dubbed ' GRIDPAT' (for 'PATtern analysis of GRIDs') was developped for the
structural representation of self concept data. Its relations to basic notions
of Formal Concept Analysis and blockmodeling are discussed. An illustrative
application of the approach is provided.
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Identifiers :
UNILU:UL-ARTICLE-2011-294
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
Language :
English
Title :
Direct clustering of a two-mode binary data-matrix
Publication date :
1998
Journal title :
Universität des Saarlandes: Arbeiten der Fachrichtung Psychologie
