Feature Extraction by the SCoTLASS: An Illustrative Example

Abstract

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.\r\rWe 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.