Is this real life? Is this just fantasy? A growing number of scientists are suggesting that the idea that we are all living in a simulation may not be completely far-fetched. Simulation theory is the ...

Machine learning has expanded beyond traditional Euclidean spaces in recent years, exploring representations in more complex geometric structures. Non-Euclidean representation learning is a growing ...

Abstract: For a point set, Euclidean distance matrix (EDM) is the matrix consisting of squared distances between every pair of points in the set. It frequently appears in wide ranging applications ...

Although of interest for over a century, most useful results concerning Euclidean distance matrices (EDMs) have appeared during the last thirty years, motivated by applications to the multidimensional ...

Distance calculation is essential in various fields like physics, mathematics, engineering, geography, and everyday life. Knowing how to measure distance accurately and efficiently allows us to ...

MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.

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1 Department of Radiology, University of California at San Diego, La Jolla, CA, USA 2 Department of Molecular and Experimental Medicine, The Scripps Translational Science Institute, The Scripps ...