Mapper Interactive is a highly customizable visualization framework for you to visualize and explore Mapper algorithm.
Mapper Interactive Documentation
Mapper Interactive is a web-based framework for interactive analysis and visualization of high-dimensional point cloud data built upon the Mapper algorithm. It is an open source software released under the MIT License.
The Mapper algorithm is a tool from topological data analysis first introduced by Gurjeet Singh, Facundo Mémoli and Gunnar Carlsson in 2007 (http://dx.doi.org/10.2312/SPBG/SPBG07/091-100).
Please find the source code on GitHub.
Cite
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang. IEEE Pacific Visualization (PacificVis), 2021.
Video
Installation
git clone git@github.com:MapperInteractive/MapperInteractive.git
cd MapperInteractive
python3 run.py
After running the above commands, you can run Mapper Interactive by visiting http://127.0.0.1:8080/ on the local machine (If possible, please use Chrome).
Dependencies
This software requires Kepler Mapper, scikit-learn, NetworkX and flask to run.
If you do not have these packages installed, please use the following command to intall them.
pip install scikit-learn
pip install networkx
pip install flask
pip install flask_assets
To perform linear regression, please also make sure you have statsmodels installed.
pip install statsmodels