hierarchicalSets: Hierarchical analysis and visualization of set data

In hierarchicalSets: Set Data Visualization Using Hierarchies

Hierarchical analysis and visualization of set data

Description

This package provides a framework for investigating large scale set data with the use of hierarchical clustering. While hierarchical clustering has been employed on set data numerous times, by converting the presence/absence matrix to a distance matrix and using stats::hclust(), this approach completely removes any notion of underlying set structure from the data. hierarchicalSets instead performs a clustering directly using set algebra by continuously merging sets with the largest intersection (for ties the one with the smallest union is chosen). This structure can then be used in a variety of ways to visualize the relationships between sets. E.g. the intersectionStack plot is a scalable pendant to Venn diagrams (showing the same information but using a different visual mapping).

See Also

create_hierarchy() For constructing HierarchicalSet object and plot.HierarchicalSet() for visualization apporaches.

hierarchicalSets documentation built on April 24, 2023, 5:06 p.m.