Reference : Two-mode methods of cluster analysis: Compare and contrast
Parts of books : Contribution to collective works
Social & behavioral sciences, psychology : Multidisciplinary, general & others
Two-mode methods of cluster analysis: Compare and contrast
Krolak-Schwerdt, Sabine mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Languages, Culture, Media and Identities (LCMI) >]
Studies in classification, data analysis, and knowledge organization
Schader, M.
Gaul, W.
Vichi, M.
Vol. 24: Between data science and applied data analysis
270 - 278
[en] In this paper methods to cluster analyze two-mode data are discussed
which assume that both objects and attributes contribute to the uncovering of
meaningful patterns of clusters. Two-mode methods are reviewed and criteria are
proposed which aim at a comparison and evaluation of the reviewed methods. The
selected criteria show that most two-mode approaches su®er from drawbacks con-
cerning interpretation of the data, convergence of algorithms, uniqueness of solu-
tions or applicability to larger data sets. They imply some suggestions for future
directions in the development of two{ and three{mode cluster analysis.

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