 Geometric and Topological Inference

Geometric and Topological Inference are branches of computational mathematics that utilize concepts from geometry and topology to analyze and interpret data. They are particularly relevant in situations where the underlying structure of the data is complex and not easily captured by traditional statistical methods. ### Geometric Inference Geometric inference is concerned with the extraction of geometric properties from data. This includes understanding shapes, forms, and spatial relationships within data points.