Pure set data visualization approaches are often limited in scalability due to the combinatorial explosion of distinct set families as the number of sets under investigation increases. hierarchicalSets applies a set centric hierarchical clustering of the sets under investigation and uses this hierarchy as a basis for a range of scalable visual representations. hierarchicalSets is especially well suited for collections of sets that describe comparable comparable entities as it relies on the sets to have a meaningful relational structure.
|Author||Thomas Lin Pedersen|
|Date of publication||2016-04-12 17:01:37|
|Maintainer||Thomas Lin Pedersen <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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