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.
data(savedSims)
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 Thresher
algorithm.
savedReap
: A list of length five; each entry is a
Reaper
object obtained by applying the Reaper
function.
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.