R/LearnerClustSimpleKMeans.R
mlr_learners_clust.SimpleKMeans.Rd
A LearnerClust for Simple K Means clustering implemented in RWeka::SimpleKMeans()
.
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$get("clust.SimpleKMeans") lrn("clust.SimpleKMeans")
mlr3::Learner
-> mlr3cluster::LearnerClust
-> LearnerClustSimpleKMeans
new()
Creates a new instance of this R6 class.
LearnerClustSimpleKMeans$new()
clone()
The objects of this class are cloneable with this method.
LearnerClustSimpleKMeans$clone(deep = FALSE)
deep
Whether to make a deep clone.
#> <LearnerClustSimpleKMeans:clust.SimpleKMeans> #> * Model: - #> * Parameters: list() #> * Packages: RWeka #> * Predict Type: partition #> * Feature types: logical, integer, numeric #> * Properties: complete, exclusive, partitional# available parameters: learner$param_set$ids()#> [1] "A" "C" "fast" #> [4] "I" "init" "M" #> [7] "max_candidates" "min_density" "N" #> [10] "num_slots" "O" "periodic_pruning" #> [13] "S" "t2" "t1" #> [16] "V" "output_debug_info"