mlr_learners_clust.ff | R Documentation |
A LearnerClust for Farthest First clustering implemented in RWeka::FarthestFirst()
.
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$get("clust.ff") lrn("clust.ff")
Task type: “clust”
Predict Types: “partition”
Feature Types: “logical”, “integer”, “numeric”
Required Packages: mlr3, mlr3cluster, RWeka
Id | Type | Default | Levels | Range |
N | integer | 2 | [1, Inf) | |
S | integer | 1 | [1, Inf) | |
output_debug_info | logical | FALSE | TRUE, FALSE | - |
mlr3::Learner
-> mlr3cluster::LearnerClust
-> LearnerClustFF
new()
Creates a new instance of this R6 class.
LearnerClustFarthestFirst$new()
clone()
The objects of this class are cloneable with this method.
LearnerClustFarthestFirst$clone(deep = FALSE)
deep
Whether to make a deep clone.
## Not run: if (requireNamespace("RWeka")) { learner = mlr3::lrn("clust.ff") print(learner) # available parameters: learner$param_set$ids() } ## End(Not run)
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