Identification of relevant subtypes via preweighted sparse clustering.

ABSTRACT: Cluster analysis methods are used to identify homogeneous subgroups in a data set. In biomedical applications, one frequently applies cluster analysis in order to identify biologically interesting subgroups. In particular, one may wish to identify subgroups that are associated with a particular outcome of interest. Conventional clustering methods generally do not identify such subgroups, particularly when there are a large number of high-variance features in the data set. Conventional methods may identify clusters associated with these high-variance features when one wishes to obtain secondary clusters that are more interesting biologically or more strongly associated with a particular outcome of interest. A modification of sparse clustering can be used to identify such secondary clusters

SUBMITTER: Gaynor S 

PROVIDER: S-EPMC5959300 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature