pystad
A Library for data analysis using STAD (Simplified Topological Abstraction of Data) networks.
Description:
This is a python implementation of STAD for exploration and visualization of high-dimensional data. STAD generates an abstract representation of high-dimensional data by giving each data point a location in a graph while preserving the distances in the original high-dimensional space. The package can be used to construct and interactively visualize the resulting networks. In addition, several common lens / filter functions are implemented.
More Information:
Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Jan Aerts
Authors: Jelmer Bot
Programming Language: Python
Categories: Networks and graphs
Publications:
D. Alcaide and J. Aerts, "Spanning Trees as Approximation of Data Structures," in IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2020.2995465.
D. Alcaide, J. Aerts, "A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes", PeerJ Computer Science 7:e430, 2020 .