assemble_mapper_object

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

assemble_mapper_object function

<dl><dt>binclust_data</dt>
<dd>A list of bins, each containing named vectors whose names are those of data points and whose values are cluster ids</dd>
<dt>dists</dt>
<dd>A distance matrix for the data that has been binned and clustered.</dd>
<dt>binning</dt>
<dd>Whether the output dataframe should sort vertices into "bins" or not. Should be true if using clustering, leave false otherwise</dd></dl>

Arguments

Construct mapper graph from data — assemble_mapper_object

<dl>

<dt>binclust_data</dt>
<dd>A list of bins, each containing named vectors whose names are those of data points and whose values are cluster ids</dd>


<dt>dists</dt>
<dd>A distance matrix for the data that has been binned and clustered.</dd>


<dt>binning</dt>
<dd>Whether the output dataframe should sort vertices into "bins" or not. Should be true if using clustering, leave false otherwise</dd>

</dl>

assemble_mapper_object: Construct mapper graph from data

Description

Usage

Value

Arguments