A LearnerClust for Cobweb clustering implemented in RWeka::Cobweb()
.
The predict method uses RWeka::predict.Weka_clusterer()
to compute the
cluster memberships for new data.
Dictionary
This Learner can be instantiated via the dictionary mlr_learners or with the associated sugar function lrn()
:
$get("clust.cobweb")
mlr_learnerslrn("clust.cobweb")
Meta Information
Task type: “clust”
Predict Types: “partition”
Feature Types: “logical”, “integer”, “numeric”
Required Packages: mlr3, mlr3cluster, RWeka
Parameters
Id | Type | Default | Range |
A | numeric | 1 | \([0, \infty)\) |
C | numeric | 0.002 | \([0, \infty)\) |
S | integer | 42 | \([1, \infty)\) |
Super classes
mlr3::Learner
-> mlr3cluster::LearnerClust
-> LearnerClustCobweb
Examples
if (requireNamespace("RWeka")) {
learner = mlr3::lrn("clust.cobweb")
print(learner)
# available parameters:
learner$param_set$ids()
}
#> <LearnerClustCobweb:clust.cobweb>: Cobweb Clustering
#> * Model: -
#> * Parameters: list()
#> * Packages: mlr3, mlr3cluster, RWeka
#> * Predict Types: [partition]
#> * Feature Types: logical, integer, numeric
#> * Properties: complete, exclusive, partitional
#> [1] "A" "C" "S"