Two-mode methods of cluster analysis: Compare and contrast

Reference : Two-mode methods of cluster analysis: Compare and contrast


	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Social & behavioral sciences, psychology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/8205

Title :	Two-mode methods of cluster analysis: Compare and contrast
Language :	English
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) >]
Publication date :	2003
Main document title :	Studies in classification, data analysis, and knowledge organization
Editor :	Schader, M.
	Gaul, W.
	Vichi, M.
Publisher :	Springer
Collection and collection volume :	Vol. 24: Between data science and applied data analysis
Pages :	270 - 278
Peer reviewed :	Yes
City :	Berlin
Abstract :	[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.
Permalink :	http://hdl.handle.net/10993/8205

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