mlr_learners_clust.cobweb: Cobweb Clustering Learner

mlr_learners_clust.cobwebR Documentation

Cobweb Clustering Learner

Description

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():

mlr_learners$get("clust.cobweb")
lrn("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

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
LearnerClustCobweb$new()

Method clone()

The objects of this class are cloneable with this method.

Usage
LearnerClustCobweb$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Examples

if (requireNamespace("RWeka")) {
  learner = mlr3::lrn("clust.cobweb")
  print(learner)

  # available parameters:
  learner$param_set$ids()
}

mlr3cluster documentation built on March 31, 2023, 11:11 p.m.