Arbeitspapier

A note on between-group PCA

In the context of binary classification with continuous predictors, we proove two properties concerning the connections between Partial Least Squares (PLS) dimension reduction and between-group PCA, and between linear discriminant analysis and between-group PCA. Such methods are of great interest for the analysis of high-dimensional data with continuous predictors, such as microarray gene expression data.

Language
Englisch

Bibliographic citation
Series: Discussion Paper ; No. 397

Subject
Classification
dimension reduction
feature extraction
linear discriminant analysis
partial least squares
principal component analysis

Event
Geistige Schöpfung
(who)
Boulesteix, Anne-Laure
Event
Veröffentlichung
(who)
Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen
(where)
München
(when)
2004

DOI
doi:10.5282/ubm/epub.1767
Handle
URN
urn:nbn:de:bvb:19-epub-1767-4
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Boulesteix, Anne-Laure
  • Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen

Time of origin

  • 2004

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