UFFizi: a generic platform for ranking informative features.

ABSTRACT:

Background

Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or clustering and lead to better understanding of the data. An important example is that of finding an informative group of genes out of thousands that appear in gene-expression analysis. Numerous supervised methods have been suggested but only a few unsupervised ones exist. Unsupervised Feature Filtering (UFF) is such a method, based on an entropy measure of Singular Value Decomposition (SVD), ranking features and selecting a group of preferred ones.

Results

We analyze the statistical properties of UFF and present an efficient approximation for the calculation of its entropy measure. This allows us to develo

SUBMITTER: Gottlieb A 

PROVIDER: S-EPMC2893168 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature