rushilanirudh/pdsphere
A Riemannian framework for statistical analysis of topological persistence diagrams
This tool helps researchers and practitioners in topological data analysis (TDA) to compare complex shapes and structures more efficiently. It takes in topological persistence diagrams, which are summaries of the 'holes' and 'voids' in data, and provides a numerical measure of similarity or difference between them. This allows for statistical analysis of how different datasets or objects relate to each other based on their underlying topological features.
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Use this if you need to quickly and accurately compare multiple topological persistence diagrams for tasks like clustering, classification, or statistical hypothesis testing.
Not ideal if you are not working with topological persistence diagrams or if your primary goal is not to compare the 'shape' of your data.
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8
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2
Language
Java
License
MIT
Category
Last pushed
Jun 29, 2020
Commits (30d)
0
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