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.
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.
||Proceedings of the International IIS: IIPWM´05 Conference held in Gdansk, Poland, June 13-16, 2005
||artificial intelligence; data mining; machine learning
||Mathematics, Computing and Technology > Mathematics and Statistics
||07 Sep 2010 09:07
||02 Dec 2010 21:01
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