process_dendrograms

Topological data analysis (TDA) is a method of data analysis that
uses techniques from topology to analyze high-dimensional data. Here we
implement Mapper, an algorithm from this area developed by Singh, Mémoli and
Carlsson (2007) which generalizes the concept of a
Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>.

George Clare Kennedy

mappeR

Construct and Visualize TDA Mapper Graphs

process_dendrograms function

<dl><dt>dends</dt>
<dd>A list of dendrograms to be cut.</dd>
<dt>semi_local_clustering</dt>
<dd>Whether you want clustering to happen in a semi-local (entire dataset visible) or strictly local (only current level set visible) context. Defaults to semi-local.</dd></dl>

Arguments

Cut many dendrograms in context — process_dendrograms

<dl>

<dt>dends</dt>
<dd>A list of dendrograms to be cut.</dd>


<dt>semi_local_clustering</dt>
<dd>Whether you want clustering to happen in a semi-local (entire dataset visible) or strictly local (only current level set visible) context. Defaults to semi-local.</dd>

</dl>

process_dendrograms: Cut many dendrograms in context

Description

Usage

Value

Arguments

Details