Reference : The recovery performance of two-mode clustering methods: Monte Carlo experiment
Parts of books : Contribution to collective works
Social & behavioral sciences, psychology : Multidisciplinary, general & others
http://hdl.handle.net/10993/8199
The recovery performance of two-mode clustering methods: Monte Carlo experiment
English
Krolak-Schwerdt, Sabine mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Languages, Culture, Media and Identities (LCMI) >]
Wiedenbeck, Michael [> >]
2006
Studies in classification, data analysis and knowledge organization
Spiliopoulou, M.
Kruse, R.
Borgelt, C.
Nürnberger, A.
Gaul, W.
Springer
Vol. 31: From data and information analysis to knowledge engineering
190 - 197
Yes
Berlin
[en] In this paper, a Monte Carlo study on the performance of two–mode
cluster methods is presented. The synthetical data sets were generated to correspond
to two types of data consisting of overlapping as well as disjoint clusters.
Furthermore, the data sets differed in cluster number, degrees of within-group homogeneity
and between-group heterogeneity as well as degree of cluster overlap.
We found that the methods performed very differently depending on type of data,
number of clusters, homogeneity and cluster overlap.
http://hdl.handle.net/10993/8199

There is no file associated with this reference.

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.