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:
- Grand Challenge/Workpackage(s): GC1 - WP3
- Responsible Research Lead: Jan Aerts
- Authors: Jelmer Bot
- Programming Language: Python
- Link to the repository
- 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 .
