For the clusterabilitytest() function, the distance_metric parameter
has a new available option: “gower”. This allows users to compute
pairwise distances using the gower metric, as implemented in the cluster
package, during the dimension reduction step.
clusterability 0.2.2.0
Code and accompanying documentation have been updated to improve
readability and follow a more consistent style.
clusterability 0.2.1.0
Sparse PCA can now be used as a dimension reduction method. Both the
elasticnet implementation and variable projection implementation are
available.
clusterability 0.1.1.0
Silverman’s Test no longer rounds p-values below 0.005 to 0