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Showing content from https://github.com/mlr-org/mlr3cluster below:

mlr-org/mlr3cluster: Cluster analysis for mlr3

Package website: release | dev

Cluster analysis for mlr3.

mlr3cluster is an extension package for cluster analysis within the mlr3 ecosystem. It is a successor of clustering capabilities of mlr2.

Install the last release from CRAN:

install.packages("mlr3cluster")

Install the development version from GitHub:

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

The current version of mlr3cluster contains:

• A selection of 24 clustering learners that represent a wide variety of clusterers: partitional, hierarchical, fuzzy, etc.
• A selection of 4 performance measures
• Two built-in tasks to get started with clustering

Also, the package is integrated with mlr3viz which enables you to create great visualizations with just one line of code!

library(mlr3)
library(mlr3cluster)

task = tsk("usarrests")
learner = lrn("clust.kmeans")
learner$train(task)
prediction = learner$predict(task = task)

Check out the blogpost for a more detailed introduction to the package. Also, mlr3book has a section on clustering.

• Add more learners and measures
• Integrate the package with mlr3pipelines (work in progress)

If you have any questions, feedback or ideas, feel free to open an issue here.

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