A LearnerClust for X-means clustering implemented in RWeka::XMeans()
.
The predict method uses RWeka::predict.Weka_clusterer()
to compute the
cluster memberships for new data.
This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn()
:
mlr_learners$get("clust.xmeans") lrn("clust.xmeans")
mlr3::Learner
-> mlr3cluster::LearnerClust
-> LearnerClustXMeans
new()
Creates a new instance of this R6 class.
LearnerClustXMeans$new()
clone()
The objects of this class are cloneable with this method.
LearnerClustXMeans$clone(deep = FALSE)
deep
Whether to make a deep clone.
#> <LearnerClustXMeans:clust.xmeans> #> * Model: - #> * Parameters: list() #> * Packages: RWeka #> * Predict Type: partition #> * Feature types: logical, integer, numeric #> * Properties: complete, exclusive, partitional# available parameters: learner$param_set$ids()#> [1] "B" "C" "D" #> [4] "H" "I" "J" #> [7] "K" "L" "M" #> [10] "S" "U" "use_kdtree" #> [13] "N" "O" "Y" #> [16] "output_debug_info"