Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis

► The iSELF method exploits both statistically uncorrelated and parameter-free characteristics. ► The iSELF method is defined everywhere.This makes it fast and suitable for gene application.. ► The iSELF method efficiently extracts the discriminant information and addresses the semi-supervised learning problem.