outlier_hierarchy

This function detects the outlying elements of a HierarchicalSet object and
creates a new clustering of the sets only based on these elements. The
returned HierarchicalSet object will only contain the outlying elements, thus
reducing the universe size. This operation is somewhat similar to principal
component analysis, in that the derived clustering is based on the structure
not captured by the first clustering, thus modeling the second most dominant
feature of the data.

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.

Thomas Pedersen

hierarchicalSets

Set Data Visualization Using Hierarchies

outlier_hierarchy function

<dl><dt>set</dt>
<dd>A HierarchicalSet object</dd>
<dt>intersectLimit</dt>
<dd>The proportion of sets an element must be present in to
be considered part of the intersect. Standard intersects require it to be
present in all sets (intersectLimit = 1), which is also the default</dd></dl>

Arguments

Create a new hierarchy based on the outlying elements — outlier_hierarchy

<dl>

<dt>set</dt>
<dd>A HierarchicalSet object</dd>


<dt>intersectLimit</dt>
<dd>The proportion of sets an element must be present in to
be considered part of the intersect. Standard intersects require it to be
present in all sets (intersectLimit = 1), which is also the default</dd>

</dl>

outlier_hierarchy: Create a new hierarchy based on the outlying elements

Description

Usage

Value

Arguments

See Also

Examples