Reference : Two-mode methods of cluster analysis: Compare and contrast |
Parts of books : Contribution to collective works | |||
Social & behavioral sciences, psychology : Multidisciplinary, general & others | |||
http://hdl.handle.net/10993/8205 | |||
Two-mode methods of cluster analysis: Compare and contrast | |
English | |
Krolak-Schwerdt, Sabine ![]() | |
2003 | |
Studies in classification, data analysis, and knowledge organization | |
Schader, M. | |
Gaul, W. | |
Vichi, M. | |
Springer | |
Vol. 24: Between data science and applied data analysis | |
270 - 278 | |
Yes | |
Berlin | |
[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. | |
http://hdl.handle.net/10993/8205 |
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