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.