cover_points

Cover points based on intervals and overlap

The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.

ChiChien Wang

MapperAlgo

Topological Data Analysis: Mapper Algorithm

Paul Pearson

Daniel Muellner

Gurjeet Singh

cover_points function

<dl><dt>lsfi</dt>
<dd>Level set flat index.</dd>
<dt>filter_min</dt>
<dd>Minimum filter value.</dd>
<dt>interval_width</dt>
<dd>Width of the interval.</dd>
<dt>percent_overlap</dt>
<dd>Percentage overlap between intervals.</dd>
<dt>filter_values</dt>
<dd>The filter values to be analyzed.</dd>
<dt>num_intervals</dt>
<dd>Number of intervals.</dd>
<dt>type</dt>
<dd>Type of interval, either 'stride' or 'extension'.</dd></dl>

Arguments

Cover points based on intervals and overlap — cover_points

<dl>

<dt>lsfi</dt>
<dd>Level set flat index.</dd>


<dt>filter_min</dt>
<dd>Minimum filter value.</dd>


<dt>interval_width</dt>
<dd>Width of the interval.</dd>


<dt>percent_overlap</dt>
<dd>Percentage overlap between intervals.</dd>


<dt>filter_values</dt>
<dd>The filter values to be analyzed.</dd>


<dt>num_intervals</dt>
<dd>Number of intervals.</dd>


<dt>type</dt>
<dd>Type of interval, either 'stride' or 'extension'.</dd>

</dl>

cover_points: Cover points based on intervals and overlap

Description

Usage

Value

Arguments