Abstract: This paper proposes and analyzes a gradient-type algorithm based on Burer-Monteiro factorization, called the Asymmetric Projected Gradient Descent (APGD), for reconstructing the point set ...
Molecular and morphological data analyses matrices are very informative tools for the estimation of genetic distances. We used AFLP markers, morphological traits and combined analysis to estimate the ...
Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Michael ends up finding himself trapped on the roof of his school with the Agents closing in on ...
Abstract: The Euclidean distance matrix (EDM) completion problem has been widely used in molecular conformation, protein structure determination and localization. This problem can be troublesome for ...
We introduce a method for solving a quadratic unconstrained binary optimization (QUBO) with the two-way one-hot constraints by dividing the QUBO into parts and solving it with an Ising machine. The ...
Statistical properties of multivariate distance matrix regression for high-dimensional data analysis
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 ...
The documentation is clear that betadisper() computes the distance between samples and their respective centroid or median while ensuring positive-definite eigenvalues. betadisper() also returns the ...
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