no code implementations • 5 Oct 2016 • Erika S. Helgeson, Eric Bair
Cluster analysis is an unsupervised learning strategy that can be employed to identify subgroups of observations in data sets of unknown structure.
no code implementations • 11 Jul 2014 • Qian Liu, Guanhua Chen, Michael R. Kosorok, Eric Bair
This framework can be used to identify biclusters that differ with respect to the means of the features, the variance of the features, or more general differences.
no code implementations • 1 Jul 2013 • Eric Bair
Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about the relationship between the observations in the data set.
no code implementations • 13 Apr 2013 • Sheila Gaynor, Eric Bair
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.