This data set contains five related simulated data sets, along with the Thresher and Reaper objects obtained by clustering the data sets and removing outliers.
sigma: A list of length five; each entry is a covariance matrix
used to simulate data.
savedSims: A list of length five; each entry is a
SimThresher object obtained by simulating data from
one of the covariance matrices and running the
savedReap: A list of length five; each entry is a
Reaper object obtained by applying the
The simulated data sets were prepared by running the script
Examples/makeSims.R that is installed along with the
Thresher package. The five covariance matrices vary in the
number of correlated subgroups (one or two) and whether they include
both positively and negatively correlated variables, or just
positively correlated ones. Each data set also includes two
uncorrelated "noise" variables that should automatically be removed by
the Reper-Thresher algorithms.
Wang M, Abrams ZB, Kornblau SM, Coombes KR. Thresher: determining the number of clusters while removing outliers. BMC Bioinformatics, 2018; 19(1):1-9. doi://10.1186/s12859-017-1998-9.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.