Geometric data analysis

Geometric data analysis is an approach that uses geometric and topological concepts to analyze and interpret data. This method is particularly useful in fields like statistics, machine learning, and data science, where complex datasets can often be visualized or understood better through geometric perspectives. Key concepts and elements of geometric data analysis include: 1. **Geometric Structures**: Data can be represented in various geometric forms, such as points, curves, surfaces, or more complex shapes like manifolds.