Nothing
TDAmapper: Analyze High-Dimensional Data Using Discrete Morse Theory
Topological Data Analysis using Mapper (discrete Morse theory). Generate a 1-dimensional simplicial complex from a filter function defined on the data: 1. Define a filter function (lens) on the data. 2. Perform clustering within within each level set and generate one node (vertex) for each cluster. 3. For each pair of clusters in adjacent level sets with a nonempty intersection, generate one edge between vertices. The function mapper1D uses a filter function with codomain R, while the the function mapper2D uses a filter function with codomain R^2.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Paul Pearson [aut, cre, trl], Daniel Muellner [aut, ctb], Gurjeet Singh [aut, ctb] |
| Maintainer | Paul Pearson <pearsonp@hope.edu> |
| License | GPL-3 |
| Version | 1.0 |
| URL | https://github.com/paultpearson/TDAmapper/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the TDAmapper package in your browser
Any scripts or data that you put into this service are public.
