# mlr3cluster

Package website: [release](https://mlr3cluster.mlr-org.com/) \|
[dev](https://mlr3cluster.mlr-org.com/dev/)

Cluster analysis for **[mlr3](https://github.com/mlr-org/mlr3/)**.

**mlr3cluster** is an extension package for cluster analysis within the
**[mlr3](https://github.com/mlr-org/mlr3)** ecosystem. It is a successor
of clustering capabilities of
**[mlr2](https://github.com/mlr-org/mlr)**.

## Installation

Install the last release from CRAN:

``` r

install.packages("mlr3cluster")
```

Install the development version from GitHub:

``` r

# install.packages("pak")
pak::pak("mlr-org/mlr3cluster")
```

## Feature Overview

The current version of **mlr3cluster** contains:

- A selection of 36 clustering learners that represent a wide variety of
  clusterers: partitional, hierarchical, fuzzy, etc.
- A selection of 11 performance measures
- Two built-in tasks to get started with clustering

Also, the package is integrated with
**[mlr3viz](https://github.com/mlr-org/mlr3viz)** which enables you to
create great visualizations with just one line of code!

## Cluster Analysis

### Cluster Learners

| Key | Label | Packages |
|:---|:---|:---|
| [clust.MBatchKMeans](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.MBatchKMeans) | Mini Batch K-Means | [ClusterR](https://cran.r-project.org/package=ClusterR) |
| [clust.SimpleKMeans](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.SimpleKMeans) | K-Means (Weka) | [RWeka](https://cran.r-project.org/package=RWeka) |
| [clust.agnes](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.agnes) | Agglomerative Nesting | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.ap](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.ap) | Affinity Propagation | [apcluster](https://cran.r-project.org/package=apcluster) |
| [clust.bico](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.bico) | BICO | [stream](https://cran.r-project.org/package=stream) |
| [clust.birch](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.birch) | BIRCH | [stream](https://cran.r-project.org/package=stream) |
| [clust.clara](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.clara) | CLARA | [cluster](https://cran.r-project.org/package=cluster), [clue](https://cran.r-project.org/package=clue) |
| [clust.cmeans](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.cmeans) | Fuzzy C-Means | [e1071](https://cran.r-project.org/package=e1071), [clue](https://cran.r-project.org/package=clue) |
| [clust.cobweb](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.cobweb) | Cobweb | [RWeka](https://cran.r-project.org/package=RWeka) |
| [clust.dbscan](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.dbscan) | DBSCAN | [dbscan](https://cran.r-project.org/package=dbscan) |
| [clust.dbscan_fpc](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.dbscan_fpc) | DBSCAN (fpc) | [fpc](https://cran.r-project.org/package=fpc) |
| [clust.diana](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.diana) | Divisive Analysis | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.em](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.em) | Expectation-Maximization | [RWeka](https://cran.r-project.org/package=RWeka) |
| [clust.fanny](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.fanny) | Fuzzy Analysis | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.featureless](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.featureless) | Featureless Clustering Learner |  |
| [clust.ff](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.ff) | Farthest First | [RWeka](https://cran.r-project.org/package=RWeka) |
| [clust.flexmix](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.flexmix) | Finite Mixture Model | [flexmix](https://cran.r-project.org/package=flexmix) |
| [clust.genie](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.genie) | Genie Hierarchical Clustering | [genieclust](https://cran.r-project.org/package=genieclust) |
| [clust.hclust](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.hclust) | Hierarchical Clustering | stats |
| [clust.hdbscan](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.hdbscan) | HDBSCAN | [dbscan](https://cran.r-project.org/package=dbscan) |
| [clust.kcca](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kcca) | K-Centroids Cluster Analysis | [flexclust](https://cran.r-project.org/package=flexclust) |
| [clust.kkmeans](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kkmeans) | Kernel K-Means | [kernlab](https://cran.r-project.org/package=kernlab) |
| [clust.kmeans](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kmeans) | K-Means | stats, [clue](https://cran.r-project.org/package=clue) |
| [clust.kproto](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kproto) | K-Prototypes | [clustMixType](https://cran.r-project.org/package=clustMixType) |
| [clust.mclust](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.mclust) | Gaussian Mixture Model | [mclust](https://cran.r-project.org/package=mclust) |
| [clust.meanshift](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.meanshift) | Mean Shift | [LPCM](https://cran.r-project.org/package=LPCM) |
| [clust.movMF](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.movMF) | von Mises-Fisher Mixture | [movMF](https://cran.r-project.org/package=movMF) |
| [clust.optics](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.optics) | OPTICS | [dbscan](https://cran.r-project.org/package=dbscan) |
| [clust.pam](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.pam) | Partitioning Around Medoids | [cluster](https://cran.r-project.org/package=cluster), [clue](https://cran.r-project.org/package=clue) |
| [clust.protoclust](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.protoclust) | Prototype Hierarchical Clustering | [protoclust](https://cran.r-project.org/package=protoclust) |
| [clust.skmeans](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.skmeans) | Spherical K-Means | [skmeans](https://cran.r-project.org/package=skmeans) |
| [clust.som](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.som) | Self-Organizing Maps | [kohonen](https://cran.r-project.org/package=kohonen) |
| [clust.specc](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.specc) | Spectral Clustering | [kernlab](https://cran.r-project.org/package=kernlab) |
| [clust.stdbscan](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.stdbscan) | ST-DBSCAN | [stdbscan](https://cran.r-project.org/package=stdbscan) |
| [clust.tclust](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.tclust) | Robust Trimmed Clustering | [tclust](https://cran.r-project.org/package=tclust) |
| [clust.xmeans](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.xmeans) | X-Means | [RWeka](https://cran.r-project.org/package=RWeka) |

### Cluster Measures

| Key | Label | Packages |
|:---|:---|:---|
| [clust.avg_between](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.avg_between) | Average Between | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.avg_within](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.avg_within) | Average Within | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.ch](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.ch) | Calinski Harabasz |  |
| [clust.davies_bouldin](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.davies_bouldin) | Davies-Bouldin |  |
| [clust.dunn](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.dunn) | Dunn | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.dunn2](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.dunn2) | Dunn2 | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.entropy](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.entropy) | Entropy |  |
| [clust.pearsongamma](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.pearsongamma) | Pearson Gamma | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.silhouette](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.silhouette) | Silhouette | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.wb_ratio](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.wb_ratio) | Within/Between Ratio | [cluster](https://cran.r-project.org/package=cluster) |
| [clust.wss](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.wss) | Within Sum of Squares |  |

## Example

``` r

library(mlr3)
library(mlr3cluster)

task = tsk("usarrests")
task
#> 
#> ── <TaskClust> (50x4): US Arrests ──────────────────────────────────────────────
#> • Target:
#> • Properties: -
#> • Features (4):
#>   • int (2): Assault, UrbanPop
#>   • dbl (2): Murder, Rape

learner = lrn("clust.kmeans")
prediction = learner$train(task)$predict(task)
measures = msrs(c("clust.wss", "clust.silhouette"))
prediction$score(measures, task)
#>        clust.wss clust.silhouette 
#>     9.639903e+04     5.926554e-01
```

## More Resources

Check out the
**[blogpost](https://www.r-bloggers.com/2020/10/introducing-mlr3cluster-cluster-analysis-package/)**
for a more detailed introduction to the package. Also,
**[mlr3book](https://mlr3book.mlr-org.com/chapters/chapter13/beyond_regression_and_classification.html#sec-cluster)**
has a section on clustering.

## Future Plans

- Add more learners and measures
- Integrate the package with
  **[mlr3pipelines](https://github.com/mlr-org/mlr3pipelines)** (work in
  progress)

If you have any questions, feedback or ideas, feel free to open an issue
[here](https://github.com/mlr-org/mlr3cluster/issues).

# Package index

## Learners

- [`mlr_learners_clust.MBatchKMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.MBatchKMeans.md)
  [`LearnerClustMiniBatchKMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.MBatchKMeans.md)
  : Mini Batch K-Means Clustering Learner
- [`mlr_learners_clust.SimpleKMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.SimpleKMeans.md)
  [`LearnerClustSimpleKMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.SimpleKMeans.md)
  : K-Means Clustering Learner (Weka)
- [`mlr_learners_clust.agnes`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.agnes.md)
  [`LearnerClustAgnes`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.agnes.md)
  : Agglomerative Nesting Clustering Learner
- [`mlr_learners_clust.ap`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.ap.md)
  [`LearnerClustAP`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.ap.md)
  : Affinity Propagation Clustering Learner
- [`mlr_learners_clust.bico`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.bico.md)
  [`LearnerClustBICO`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.bico.md)
  : BICO Clustering Learner
- [`mlr_learners_clust.birch`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.birch.md)
  [`LearnerClustBIRCH`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.birch.md)
  : BIRCH Clustering Learner
- [`mlr_learners_clust.clara`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.clara.md)
  [`LearnerClustCLARA`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.clara.md)
  : CLARA Clustering Learner
- [`mlr_learners_clust.cmeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.cmeans.md)
  [`LearnerClustCMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.cmeans.md)
  : Fuzzy C-Means Clustering Learner
- [`mlr_learners_clust.cobweb`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.cobweb.md)
  [`LearnerClustCobweb`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.cobweb.md)
  : Cobweb Clustering Learner
- [`mlr_learners_clust.dbscan`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.dbscan.md)
  [`LearnerClustDBSCAN`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.dbscan.md)
  : DBSCAN Clustering Learner
- [`mlr_learners_clust.dbscan_fpc`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.dbscan_fpc.md)
  [`LearnerClustDBSCANfpc`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.dbscan_fpc.md)
  : DBSCAN Clustering Learner (fpc)
- [`mlr_learners_clust.diana`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.diana.md)
  [`LearnerClustDiana`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.diana.md)
  : Divisive Analysis Clustering Learner
- [`mlr_learners_clust.em`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.em.md)
  [`LearnerClustEM`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.em.md)
  : Expectation-Maximization Clustering Learner
- [`mlr_learners_clust.fanny`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.fanny.md)
  [`LearnerClustFanny`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.fanny.md)
  : Fuzzy Analysis Clustering Learner
- [`mlr_learners_clust.featureless`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.featureless.md)
  [`LearnerClustFeatureless`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.featureless.md)
  : Featureless Clustering Learner
- [`mlr_learners_clust.ff`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.ff.md)
  [`LearnerClustFarthestFirst`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.ff.md)
  : Farthest First Clustering Learner
- [`mlr_learners_clust.flexmix`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.flexmix.md)
  [`LearnerClustFlexmix`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.flexmix.md)
  : Finite Mixture Model Clustering Learner
- [`mlr_learners_clust.genie`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.genie.md)
  [`LearnerClustGenie`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.genie.md)
  : Genie Hierarchical Clustering Learner
- [`mlr_learners_clust.gmeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.gmeans.md)
  [`LearnerClustGMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.gmeans.md)
  : G-Means Clustering Learner
- [`mlr_learners_clust.hclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.hclust.md)
  [`LearnerClustHclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.hclust.md)
  : Hierarchical Clustering Learner
- [`mlr_learners_clust.hdbscan`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.hdbscan.md)
  [`LearnerClustHDBSCAN`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.hdbscan.md)
  : HDBSCAN Clustering Learner
- [`mlr_learners_clust.kcca`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kcca.md)
  [`LearnerClustKCCA`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kcca.md)
  : K-Centroids Cluster Analysis Learner
- [`mlr_learners_clust.kkmeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kkmeans.md)
  [`LearnerClustKKMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kkmeans.md)
  : Kernel K-Means Clustering Learner
- [`mlr_learners_clust.kmeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kmeans.md)
  [`LearnerClustKMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kmeans.md)
  : K-Means Clustering Learner
- [`mlr_learners_clust.kmeans_rcpp`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kmeans_rcpp.md)
  [`LearnerClustKMeansRcpp`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kmeans_rcpp.md)
  : K-Means Clustering Learner from ClusterR
- [`mlr_learners_clust.kmodes`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kmodes.md)
  [`LearnerClustKModes`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kmodes.md)
  : K-Modes Clustering Learner
- [`mlr_learners_clust.kproto`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kproto.md)
  [`LearnerClustKProto`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.kproto.md)
  : K-Prototypes Clustering Learner
- [`mlr_learners_clust.mclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.mclust.md)
  [`LearnerClustMclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.mclust.md)
  : Gaussian Mixture Model Clustering Learner
- [`mlr_learners_clust.meanshift`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.meanshift.md)
  [`LearnerClustMeanShift`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.meanshift.md)
  : Mean Shift Clustering Learner
- [`mlr_learners_clust.movMF`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.movMF.md)
  [`LearnerClustMovMF`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.movMF.md)
  : von Mises-Fisher Mixture Clustering Learner
- [`mlr_learners_clust.optics`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.optics.md)
  [`LearnerClustOPTICS`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.optics.md)
  : OPTICS Clustering Learner
- [`mlr_learners_clust.pam`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.pam.md)
  [`LearnerClustPAM`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.pam.md)
  : Partitioning Around Medoids Clustering Learner
- [`mlr_learners_clust.protoclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.protoclust.md)
  [`LearnerClustProtoclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.protoclust.md)
  : Prototype Hierarchical Clustering Learner
- [`mlr_learners_clust.skmeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.skmeans.md)
  [`LearnerClustSKMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.skmeans.md)
  : Spherical K-Means Clustering Learner
- [`mlr_learners_clust.som`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.som.md)
  [`LearnerClustSOM`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.som.md)
  : Self-Organizing Maps Clustering Learner
- [`mlr_learners_clust.specc`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.specc.md)
  [`LearnerClustSpectral`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.specc.md)
  : Spectral Clustering Learner
- [`mlr_learners_clust.stdbscan`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.stdbscan.md)
  [`LearnerClustSTDBSCAN`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.stdbscan.md)
  : ST-DBSCAN Clustering Learner
- [`mlr_learners_clust.tclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.tclust.md)
  [`LearnerClustTclust`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.tclust.md)
  : Robust Trimmed Clustering Learner
- [`mlr_learners_clust.xmeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.xmeans.md)
  [`LearnerClustXMeans`](https://mlr3cluster.mlr-org.com/reference/mlr_learners_clust.xmeans.md)
  : X-Means Clustering Learner

## Measures

- [`mlr_measures_clust.avg_between`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.avg_between.md)
  : Average Between-Cluster Distance
- [`mlr_measures_clust.avg_within`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.avg_within.md)
  : Average Within-Cluster Distance
- [`mlr_measures_clust.ch`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.ch.md)
  : Calinski Harabasz Pseudo F-Statistic
- [`mlr_measures_clust.davies_bouldin`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.davies_bouldin.md)
  : Davies-Bouldin Index
- [`mlr_measures_clust.dunn`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.dunn.md)
  : Dunn Index
- [`mlr_measures_clust.dunn2`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.dunn2.md)
  : Dunn2 Index
- [`mlr_measures_clust.entropy`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.entropy.md)
  : Entropy
- [`mlr_measures_clust.pearsongamma`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.pearsongamma.md)
  : Pearson Gamma
- [`mlr_measures_clust.silhouette`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.silhouette.md)
  : Rousseeuw's Silhouette Quality Index
- [`mlr_measures_clust.sse_ratio`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.sse_ratio.md)
  : Within/Total Sum of Squares Ratio
- [`mlr_measures_clust.wb_ratio`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.wb_ratio.md)
  : Within/Between Ratio
- [`mlr_measures_clust.wss`](https://mlr3cluster.mlr-org.com/reference/mlr_measures_clust.wss.md)
  : Within Sum of Squares

## Tasks

- [`mlr_tasks_ruspini`](https://mlr3cluster.mlr-org.com/reference/mlr_tasks_ruspini.md)
  : Ruspini Cluster Task
- [`mlr_tasks_usarrests`](https://mlr3cluster.mlr-org.com/reference/mlr_tasks_usarrests.md)
  : US Arrests Cluster Task

## General

- [`MeasureClust`](https://mlr3cluster.mlr-org.com/reference/MeasureClust.md)
  : Cluster Measure
- [`PredictionClust`](https://mlr3cluster.mlr-org.com/reference/PredictionClust.md)
  : Prediction Object for Cluster Analysis
- [`TaskClust`](https://mlr3cluster.mlr-org.com/reference/TaskClust.md)
  : Cluster Task
- [`LearnerClust`](https://mlr3cluster.mlr-org.com/reference/LearnerClust.md)
  : Cluster Learner
- [`as_prediction_clust()`](https://mlr3cluster.mlr-org.com/reference/as_prediction_clust.md)
  : Convert to a Cluster Prediction
- [`as_task_clust()`](https://mlr3cluster.mlr-org.com/reference/as_task_clust.md)
  : Convert to a Cluster Task
- [`mlr3cluster`](https://mlr3cluster.mlr-org.com/reference/mlr3cluster-package.md)
  [`mlr3cluster-package`](https://mlr3cluster.mlr-org.com/reference/mlr3cluster-package.md)
  : mlr3cluster: Cluster Extension for 'mlr3'