Nothing
clustree: Visualise Clusterings at Different Resolutions
Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Luke Zappia [aut, cre] (<https://orcid.org/0000-0001-7744-8565>), Alicia Oshlack [aut] (<https://orcid.org/0000-0001-9788-5690>), Andrea Rau [ctb], Paul Hoffman [ctb] (<https://orcid.org/0000-0002-7693-8957>) |
| Maintainer | Luke Zappia <luke@lazappi.id.au> |
| License | GPL-3 |
| Version | 0.5.1 |
| URL | https://github.com/lazappi/clustree https://lazappi.github.io/clustree/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the clustree package in your browser
Any scripts or data that you put into this service are public.
