Delete clusters differing only by rounding errors or having maximization value zero.
numerical matrix whose columns contain the parameters of the clusters.
optional positive integer. Number of decimal places for rounding.
number of columns describing the clusters. See details.
optional boolean. With
Since clusters found by
differ only by rounding errors, the function
deldupMclust can be used for rounding and deleting
clust has a column named "count", its
values are summed appropriately. Otherwise such a column is added.
clust the object returned from
circMclust can be used. Alternatively, an arbitrary matrix
can be given, of which the first
ncol columns describe the
prec is the number of decimal places for
rounding; the default is no rounding.
ncol, the number of columns that describe the clusters
can be given. This is not needed, if
clust is an object
An object of the same type as
Tim Garlipp, TimGarlipp@gmx.de
Mueller, C. H., & Garlipp, T. (2005). Simple consistent cluster methods based on redescending M-estimators with an application to edge identification in images. Journal of Multivariate Analysis, 92(2), 359–385.
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