"Euclidean distance is the shortest distance between two points in an N-dimensional space also known as Euclidean space. It is used as a common metric to measure the similarity between two data points ...

This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured ...

Metric Space Visualization is an experimental project that reimagines geometry as a dynamic, interactive metric space. Instead of static meshes, vertices are treated as elements of a continuously ...

Kant argued that Euclidean geometry is synthesized on the basis of an a priori intuition of space. This proposal inspired much behavioral research probing whether spatial navigation in humans and ...