Arbeitspapier
Projection pursuit for exploratory supervised classification
In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function called the projection pursuit index. Very few projection pursuit indices incorporate class or group information in the calculation. Hence, they cannot be adequately applied in supervised classification problems to provide low-dimensional projections revealing class differences in the data. We introduce new indices derived from linear discriminant analysis that can be used for exploratory supervised classification.
- Sprache
-
Englisch
- Erschienen in
-
Series: SFB 649 Discussion Paper ; No. 2005,026
Klassifikation
Wirtschaft
Thema
Data mining
Exploratory multivariate data analysis
Gene expression data
Discriminant analysis
Exploratory multivariate data analysis
Gene expression data
Discriminant analysis
Ereignis
Geistige Schöpfung
(wer)
Lee, Eun-Kyung
Cook, Dianne
Klinke, Sigbert
Lumley, Thomas
Cook, Dianne
Klinke, Sigbert
Lumley, Thomas
Ereignis
Veröffentlichung
(wer)
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
(wo)
Berlin
(wann)
2005
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:22 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Lee, Eun-Kyung
- Cook, Dianne
- Klinke, Sigbert
- Lumley, Thomas
- Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
Entstanden
- 2005
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