mlr_tasks_ruspini | R Documentation |
A cluster task for the cluster::ruspini data set.
R6::R6Class inheriting from TaskClust.
This mlr3::Task can be instantiated via the dictionary mlr3::mlr_tasks or with the associated sugar function mlr3::tsk()
:
mlr_tasks$get("ruspini") tsk("ruspini")
Task type: “clust”
Dimensions: 75x2
Properties: -
Has Missings: FALSE
Target: -
Features: “x”, “y”
Ruspini EH (1970). “Numerical methods for fuzzy clustering.” Information Sciences, 2(3), 319-350. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/S0020-0255(70)80056-1")}.
Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html
Package mlr3data for more toy tasks.
Package mlr3oml for downloading tasks from https://www.openml.org.
Package mlr3viz for some generic visualizations.
Dictionary of Tasks: mlr3::mlr_tasks
as.data.table(mlr_tasks)
for a table of available Tasks in the running session (depending on the loaded packages).
mlr3fselect and mlr3filters for feature selection and feature filtering.
Extension packages for additional task types:
Unsupervised clustering: mlr3cluster
Probabilistic supervised regression and survival analysis: https://mlr3proba.mlr-org.com/.
Other Task:
TaskClust
,
mlr_tasks_usarrests
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