mlr_learners_clust.cmeans: Fuzzy C-Means Clustering Learner

mlr_learners_clust.cmeansR Documentation

Fuzzy C-Means Clustering Learner

Description

A LearnerClust for fuzzy clustering implemented in e1071::cmeans(). e1071::cmeans() doesn't have a default value for the number of clusters. Therefore, the centers parameter here is set to 2 by default. The predict method uses clue::cl_predict() to compute the cluster memberships for new data.

Dictionary

This mlr3::Learner can be instantiated via the dictionary mlr3::mlr_learners or with the associated sugar function mlr3::lrn():

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

Meta Information

  • Task type: “clust”

  • Predict Types: “partition”, “prob”

  • Feature Types: “logical”, “integer”, “numeric”

  • Required Packages: mlr3, mlr3cluster, e1071

Parameters

Id Type Default Levels Range
centers untyped - -
iter.max integer 100 [1, \infty)
verbose logical FALSE TRUE, FALSE -
dist character euclidean euclidean, manhattan -
method character cmeans cmeans, ufcl -
m numeric 2 [1, \infty)
rate.par numeric - [0, 1]
weights untyped 1L -
control untyped - -

Super classes

mlr3::Learner -> mlr3cluster::LearnerClust -> LearnerClustCMeans

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
LearnerClustCMeans$new()

Method clone()

The objects of this class are cloneable with this method.

Usage
LearnerClustCMeans$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

References

Dimitriadou, Evgenia, Hornik, Kurt, Leisch, Friedrich, Meyer, David, Weingessel, Andreas (2008). “Misc functions of the Department of Statistics (e1071), TU Wien.” R package, 1, 5–24.

Bezdek, C J (2013). Pattern recognition with fuzzy objective function algorithms. Springer Science & Business Media.

See Also

Other Learner: mlr_learners_clust.MBatchKMeans, mlr_learners_clust.SimpleKMeans, mlr_learners_clust.agnes, mlr_learners_clust.ap, mlr_learners_clust.bico, mlr_learners_clust.birch, mlr_learners_clust.cobweb, mlr_learners_clust.dbscan, mlr_learners_clust.dbscan_fpc, mlr_learners_clust.diana, mlr_learners_clust.em, mlr_learners_clust.fanny, mlr_learners_clust.featureless, mlr_learners_clust.ff, mlr_learners_clust.hclust, mlr_learners_clust.hdbscan, mlr_learners_clust.kkmeans, mlr_learners_clust.kmeans, mlr_learners_clust.mclust, mlr_learners_clust.meanshift, mlr_learners_clust.optics, mlr_learners_clust.pam, mlr_learners_clust.xmeans

Examples

if (requireNamespace("e1071")) {
  learner = mlr3::lrn("clust.cmeans")
  print(learner)

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

mlr-org/mlr3cluster documentation built on Dec. 24, 2024, 3:19 a.m.