kepler-mapper

KeplerMapper

Nature uses as little as possible of anything. - Johannes Kepler

This is a Python implementation of the TDA Mapper algorithm for visualization of high-dimensional data. For complete documentation, see https://kepler-mapper.scikit-tda.org.

KeplerMapper employs approaches based on the Mapper algorithm (Singh et al.) as first described in the paper "Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition".

KeplerMapper can make use of Scikit-Learn API compatible cluster and scaling algorithms.

Install

Dependencies

KeplerMapper requires:

• Python (>= 3.6)
• NumPy
• Scikit-learn

Using the plotly visualizations requires a few extra libraries:

• igraph