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Feature extraction by the SCoTLASS: an illustrative example

Bartkowiak, Anna and Trendafilov, Nickolay (2005). Feature extraction by the SCoTLASS: an illustrative example. In: Klopotek, Mieczyslaw A; Wierzchen, Slawomir T. and Trojanowski, Krzysztof eds. Intelligent Information Processing and Web Mining. Advances in Intelligent and Soft Computing (31). Berlin: Springer, pp. 3–11.

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Derivation of new features of observed variables has two important goals: reduction of dimensionality and de-noising. A desired property of the derived new features is their meaningful interpretation. The SCoTLASS method (Jolliffe, Trendafilov and Uddin, 2003) offers such possibility.

We explore the preoperties of the SCoTLASS method applied to the yeast genes data investicaged in (Bartkowiak et al., 2003, 2004). All the derived features have really a simple meaningful structue: each new feature is spanned by two original variables belonging to the same block.

Item Type: Book Chapter
Copyright Holders: 2005 Springer-Verlag
ISBN: 3-540-25056-5, 978-3-540-25056-2
Extra Information: Proceedings of the International IIS: IIPWM´05 Conference held in Gdansk, Poland, June 13-16, 2005

Keywords: artificial intelligence; data mining; machine learning
Academic Unit/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Mathematics, Computing and Technology
Item ID: 22565
Depositing User: Sarah Frain
Date Deposited: 07 Sep 2010 09:07
Last Modified: 15 Jan 2016 14:03
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