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algorithm
argument in
adproclus()
has been changed to ALS2
from
ALS1
. This is because the ALS2
algorithm often
is less time-consuming with similar performance.New model selection tools for full dimensional ADPROCLUS and low
dimensional ADPROCLUS. mselect_adproclus()
and
mselect_adproclus_low_dim()
to estimate a range of
models.
New functions to plot the results of the model selection tools.
plot_scree_adpc()
and
plot_scree_adpc_preselected()
.
Automatic model selection with
select_by_CHull()
.
Compute cluster means on arbitrary data with
cluster_means()
.
Characteristics of the baseline cluster Cl0
are now
also included in the summary output.
Documentation of plot_vars_by_comp()
now includes
the correct argument vars_by_comp
instead of
VarsByComp
.
Give control over the number of decimal places to be displayed in
the summary output with the digits
argument in
summary.adproclus()
and
cluster_means()
.
Allow partial matches of arguments for plot choice in
plot()
.
Remove unnecessary arguments passed to the plotting functions
internally to give user the flexibility to supply them via
...
.
Correct description of the iterations
argument in
adproclus()
and adproclus_low_dim()
.
Set default title of plots to NULL
.
plot_cluster_network()
now also works when
clusters have an overlap of 1 observation.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.