Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO). [PDF]
Magn Reson Med, 2021 Purpose To develop a rapid and accurate MRI phase unwrapping technique for challenging phase topographies encountered at high magnetic fields, around metal implants or post-operative cavities, that is sufficiently fast to be applied to large group ...
Dymerska B +6 more
europepmc +2 more sources
Alzheimer Classification Using a Minimum Spanning Tree of High-Order Functional Network on fMRI Dataset [PDF]
Frontiers in Neuroscience, 2017 Functional magnetic resonance imaging (fMRI) is one of the most useful methods to generate functional connectivity networks of the brain. However, conventional network generation methods ignore dynamic changes of functional connectivity between brain ...
Hao Guo +5 more
doaj +3 more sources
Diameter Constrained Fuzzy Minimum Spanning Tree Problem [PDF]
International Journal of Computational Intelligence Systems, 2013 In this paper, we have studied the constrained version of the fuzzy minimum spanning tree problem. Costs of all the edges are considered as fuzzy numbers.
Sk. Md. Abu Nayeem, Madhumangal Pal
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Data, instance sets, and instances generator for the Hop-Constrained Minimum Spanning Tree problem, the Delay-Constrained Minimum Spanning Tree problem, and their bi-objective variants [PDF]
Data in Brief, 2023 This article proposes a benchmark instance generator for the Hop-Constrained Minimum Spanning Tree problem, the Delay-Constrained Minimum Spanning Tree problem, and their bi-objective variants. The generator is developed in C++ and does not uses external
Iago A. Carvalho, Amadeu A. Coco
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Broadcast and minimum spanning tree with o(m) messages in the asynchronous CONGEST model [PDF]
Distributed computing, 2021 We provide the first asynchronous distributed algorithms to compute broadcast and minimum spanning tree with o(m) bits of communication, in a sufficiently dense graph with n nodes and m edges.
Ali Mashreghi +3 more
openalex +3 more sources
Minimum spanning tree analysis of the human connectome. [PDF]
Hum Brain Mapp, 2018 One of the challenges of brain network analysis is to directly compare network organization between subjects, irrespective of the number or strength of connections.
van Dellen E +11 more
europepmc +2 more sources
MS2OD: outlier detection using minimum spanning tree and medoid selection
Machine Learning: Science and TechnologyAs an essential task in data mining, outlier detection identifies abnormal patterns in numerous applications, among which clustering-based outlier detection is one of the most popular methods for its effectiveness in detecting cluster-related outliers ...
Jia Li +5 more
doaj +2 more sources
Some models for inverse minimum spanning tree problem with uncertain edge weights [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 The inverse minimum spanning tree (IMST) problem is an inverse optimization problem in which one makes the least modification to the edge weights of a predetermined spanning tree, to make it the minimum spanning tree with respect to new edge weights ...
Sagarika Biswal, Ganesh Ghorai
doaj +1 more source
Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering [PDF]
SIGMOD Conference, 2021 This paper presents new parallel algorithms for generating Euclidean minimum spanning trees and spatial clustering hierarchies (known as HDBSCAN*).
Yiqiu Wang +3 more
semanticscholar +1 more source
Cosmology and neutrino mass with the Minimum Spanning Tree [PDF]
Monthly notices of the Royal Astronomical Society, 2021 The information content of the minimum spanning tree (MST), used to capture higher-order statistics and information from the cosmic web, is compared to that of the power spectrum for a νΛCDM model.
K. Naidoo, E. Massara, O. Lahav
semanticscholar +1 more source