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, which columns contain the parameters of the clusters.
prec optional positive integer. Number of decimal places for rounding.
ncol Number of columns describing the clusters.
dz optional boolean. With dz=TRUE clusters are deleted, for which the objective function has value 0.

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 their values are summed appropriate. 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, which describe the clusters, can be given. This is not needed, if clust is an object returned from oregMclust or circMclust.

Value

Return value is an object of the same type as clust.

Author(s)

Tim Garlipp, garlipp@mathematik.uni-oldenburg.de

References

Müller, C.H., Garlipp, T. (2003) Simple consistent cluster methods based on redescending M-estimators with an application to edge identification in images, to appear in JMVA.

See Also

oregMclust, circMclust


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