Euclidean Distance Matrices: Essential theory, algorithms, and applications
Euclidean Distance Matrices: Essential theory, algorithms, and applications
Euclidean distance matrices (EDMs) are matrices of the squared distances between points. The definition is deceivingly simple; thanks to their many useful properties, they have found applications in psychometrics, crystallography, machine learning, wireless sensor networks, acoustics, and more. Despite the usefulness of EDMs, they seem to be insufficiently known in …