Topological and Geometric Data Analysis

Topological and Geometric Data Analysis is a research topic within Computational Theory and Mathematics. Science Explorer counts 12k research works in it since 1950. 10.3% of them reached the world's top 10% most cited for their field and year.

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
• Machine Learning
• Spatial Data