Visualise Clusterings at Different Resolutions
Add node labels
Add node points
Aggregate metadata
Assert colour node aesthetics
Assert node aesthetics
Assert numeric node aesthetics
Build tree graph
Calculate SC3 stability
Calculate single SC3 stability
Check node aes list
Clustree
Plot a clustering tree
Overlay a clustering tree
Get tree edges
Get tree nodes
Overlay node points
Plot overlay side
Store node aesthetics
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.
Useful links