Overview

tda-mapper is a simple and efficient implementation of Mapper algorithm for Topological Data Analysis.

The Mapper algorithm is a well-known technique in the field of topological data analysis that allows data to be represented as a graph. Mapper is used in various fields such as machine learning, data mining, and social sciences, due to its ability to preserve topological features of the underlying space, providing a visual representation that facilitates exploration and interpretation. For an in-depth coverage of Mapper you can read the original paper.

This library contains an implementation of Mapper, where the construction of open covers is based on vp-trees for improved performance and scalability. The details about this methodology are contained in our preprint.

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