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1 2009

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Feature selection based on relaxed linear separability

Bobrowski L., Łukaszuk T.

Biocybernetics and Biomedical Engineering

2009

Vol. 29, no. 2

43-58

Feature selection problem appears where large number of features constraint effective data analysis and processing. Identification of the most important feature subsets is a crucial challenge in many important applications. For example, a basic question in bioinformatics which is identification of genes functionalities, can be formulated and answered as a problem of this kind. Identification of the most important feature subsets through minimisation of convex and piecewise-linear (CPL) criterion function is described and analysed in the paper. This approach is combined with relaxation of the linear separability assumption.