Xia & Wei et al. 2015 (JCC)
- Persistent homology - technique used to simplify big data - especially for biomolecular data
- Important for bridging the gap between data geometry & topology
- Two families of persistence:
- Pseudo-multidimensional persistence: repeated application of filters to high-dimensional data such as MD trajectories
- Multi-scale multidimensional persistence: isotropic and anisotropic scales that create new spaces
**Way off topic - but good to know about data processing methods
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