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The Distance Randić Matrix of Connected Graphs
Bulletin of the Brazilian Mathematical Society, New Series, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Díaz, Roberto C., Rojo, Oscar
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The generalized distance matrix
Linear Algebra and its Applications, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cui, Shu-Yu +2 more
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The Componentwise Distance to the Nearest Singular Matrix
SIAM Journal on Matrix Analysis and Applications, 1992Bounds for the distance to the closest singular matrix are discussed: Different ways of extending estimates based on matrix norms, which put equal weight to all elements, with estimates based on perturbations relative to the element size are reported, and it is indicated that the perfect relative perturbation bound may be too expensive to compute.
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On the Spectral Gap of a Square Distance Matrix
Journal of Statistical Physics, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Xinyu +3 more
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Distance Matrix Completion by Numerical Optimization
Computational Optimization and Applications, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Deriving an Amino Acid Distance Matrix
Journal of Theoretical Biology, 1993Various methods were investigated to convert an amino acid similarity matrix into a low-dimensional, metric distance matrix. Using projection techniques, no unique transformation was found and of the many inversion forms investigated, simple negation normalized by the diagonal elements produced a good fit to the original data.
W R, Taylor, D T, Jones
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Distance matrix comparison and tree construction
Pattern Recognition Letters, 1988Abstract Graphical representation of distance matrices in a Euclidean space allows the merging of two distance matrices since they share elements. Graphical representation of the merging of the two distance matrices is associated with a robust method of classification that allows to distinguish species whose membership to a cluster cannot be ...
Alain Hénaut, Marie-Odile Delorme
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Journal of Chemical Information and Computer Sciences, 1994
Milan Randic +2 more
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Milan Randic +2 more
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Distance-Based Logistic Matrix Factorization
Neural ComputationAbstract Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing high-dimensional data in a wide variety of machine learning problems from drug-target discovery to music recommendations.
Anoop Praturu, Tatyana O. Sharpee
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2014
The classical distance between two vertices of a graph, which is defined to be the length of the shortest path, is often intuitively not appealing, and is also not tractable mathematically. The resistance distance between two vertices is defined to be the effective resistance between the vertices, when the graph is viewed as an electrical network, with
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The classical distance between two vertices of a graph, which is defined to be the length of the shortest path, is often intuitively not appealing, and is also not tractable mathematically. The resistance distance between two vertices is defined to be the effective resistance between the vertices, when the graph is viewed as an electrical network, with
openaire +1 more source