Topological Data Analysis in Science and Engineering (Q167973): Difference between revisions
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Revision as of 18:33, 24 June 2024
This cluster of papers focuses on the application of topological data analysis in various scientific and engineering domains. It covers topics such as persistent homology, shape analysis, statistical topology, machine learning, and spatial data.
- Persistent Homology
- Topological Methods
- Data Analysis
- Complex Networks
- Shape Analysis
- Statistical Topology
- Morse Theory
- Point Cloud Data
- Spatial Data
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Topological Data Analysis in Science and Engineering |
This cluster of papers focuses on the application of topological data analysis in various scientific and engineering domains. It covers topics such as persistent homology, shape analysis, statistical topology, machine learning, and spatial data. |
|
