Description Usage Arguments Details Value Author(s) References See Also

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

1 2 | ```
deldupMclust(clust, prec = NULL,
ncol = NULL, dz = TRUE)
``` |

`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 |

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`

.

An object of the same type as `clust`

.

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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