backports (>= 1.1.10), checkmate, clue, clusterCrit,
data.table, mlr3misc (>= 0.9.4), paradox, R6, stats

backports (>= 1.1.10), checkmate, clue, clusterCrit, cluster,
data.table, mlr3misc (>= 0.9.4), paradox, R6, stats

dbscan, e1071, ClusterR, kernlab, apcluster, LPCM, mclust,
mlbench, RWeka, testthat
'LearnerClust.R' 'LearnerClustAffinityPropagation.R'
'LearnerClustAgnes.R' 'LearnerClustCMeans.R'
'LearnerClustCobweb.R' 'LearnerClustDBSCAN.R'
'LearnerClustDiana.R' 'LearnerClustEM.R' 'LearnerClustFanny.R'
'LearnerClustFarthestFirst.R' 'LearnerClustFeatureless.R'
'LearnerClustHclust.R' 'LearnerClustKKMeans.R'
'LearnerClustKMeans.R' 'LearnerClustMclust.R'
'LearnerClustMeanShift.R' 'LearnerClustMiniBatchKMeans.R'
'LearnerClustPAM.R' 'LearnerClustSimpleKMeans.R'
'LearnerClustXMeans.R' 'MeasureClust.R' 'measures.R'
'MeasureClustInternal.R' 'PredictionClust.R'
'PredictionDataClust.R' 'TaskClust.R' 'TaskClust_usarrest.R'
'as_prediction_clust.R' 'as_task_clust.R' 'helper.R' 'zzz.R'

Collection of Machine Learning Data Sets for 'mlr3'
person(given = "Michel",
family = "Lang",
role = c("cre", "aut"),
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393"))
A small collection of interesting and educational
machine learning data sets which are used as examples in the 'mlr3'
book (<https://mlr3book.mlr-org.com>), the use case gallery
(<https://mlr3gallery.mlr-org.com>), or in other examples.  All data
sets are properly preprocessed and ready to be analyzed by most
machine learning algorithms. Currently contains the following data
sets: (1) housing prices in Kings County, and (2) Titanic passenger
survival data.

A small collection of interesting and educational
machine learning data sets which are used as examples in the 'mlr3'
book (<https://mlr3book.mlr-org.com>), the use case gallery
(<https://mlr3gallery.mlr-org.com>), or in other examples. All data
sets are properly preprocessed and ready to be analyzed by most
machine learning algorithms. Currently contains the following data
sets: (1) housing prices in Kings County, and (2) Titanic passenger
survival data. Data sets are automatically added to the dictionary of
tasks if 'mlr3' is loaded.