R SDisc is an integrated set of tools and methods to identify homogeneous subtypes in data distribution by cluster analysis.

The data mining scenario includes methods:
. for data treatment and pre-processing,
. for repeated cluster analysis, model selection, model reliability and reproducibility assessment,
. for profiles characterization and validation by visual and table summaries.

SDisc applies particularly well to subtyping of patient profiles in clinical research.