deldupMclust {edci}R Documentation

Delete duplicate found clusters

Description

Delete clusters differing only by rounding errors or having maximization value zero.

Usage

  deldupMclust(clust, prec = NULL,
    ncol = NULL, dz = TRUE)

Arguments

clust

numerical matrix whose columns contain the parameters of the clusters.

prec

optional positive integer. Number of decimal places for rounding.

ncol

number of columns describing the clusters. See details.

dz

optional boolean. With dz = TRUE, those clusters for which the objective function has value 0 are deleted.

Details

Since clusters found by oregMclust or circMclust often differ only by rounding errors, the function deldupMclust can be used for rounding and deleting duplicates. If clust has a column named "count", its values are summed appropriately. Otherwise such a column is added.

For parameter clust the object returned from oregMclust or circMclust can be used. Alternatively, an arbitrary matrix can be given, of which the first ncol columns describe the clusters. The parameter prec is the number of decimal places for rounding; the default is no rounding. With ncol, the number of columns that describe the clusters can be given. This is not needed, if clust is an object returned from oregMclust or circMclust.

Value

An object of the same type as clust.

Author(s)

Tim Garlipp, TimGarlipp@gmx.de

References

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.

See Also

oregMclust, circMclust


[Package edci version 1.1-3 Index]