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Clustering cluster algebras with clusters
Advances in Theoretical and Mathematical Physics, 2023 Classification of cluster variables in cluster algebras (in particular, Grassmannian cluster algebras) is an important problem, which has direct application to computations of scattering amplitudes in physics. In this paper, we apply the tableaux method to classify cluster variables in Grassmannian cluster algebras $\mathbb{C}[Gr(k,n)]$ up to $(k,n)=(3,
Cheung, MW +5 more
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Persistence in cluster-cluster aggregation [PDF]
Physical Review E, 2002 14 pages, 12 figures, RevTeX, submitted to Phys.
Hellén, E.K.O., Alava, M.J.
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, 2008 Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue samples (or cell lines). These techniques can also be applied to tissues rather than genes.
McLachlan, G. J., Bean, R. W., Ng, S. K.
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The Astrophysical Journal, 1985 The cluster correlation function xi sub c(r) is compared with the particle correlation function, xi(r) in cosmological N-body simulations with a wide range of initial conditions. The experiments include scale-free initial conditions, pancake models with a coherence length in the initial density field, and hybrid models.
J. Barnes +3 more
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Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions
Frontiers in Neuroscience, 2019 Background: Amyotrophic Lateral Sclerosis (ALS) is a relentlessly progressive neurodegenerative condition with limited therapeutic options at present. Survival from symptom onset ranges from 3 to 5 years depending on genetic, demographic, and phenotypic ...
Vincent Grollemund +15 more
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Distributed Dynamic Cluster-Head Selection and Clustering for Massive IoT Access in 5G Networks
Applied Sciences, 2019 With the rapid growth of Internet-of-things (IoT) devices, IoT communication has become an increasingly crucial part of 5G wireless communication systems.
Yifeng Zhao +4 more
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Beilstein Journal of Organic Chemistry, 2019 We previously showed that the regio- and stereoselectivity in terpene-forming reactions are determined by the conformations of the carbocation intermediates, which reflect the initial conformation of the substrate, geranylfarnesyl diphosphate (GFPP ...
Hajime Sato +4 more
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Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Algorithms, 2017 We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online.
Xin Tian, Song Li
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Histology-informed automatic parcellation of white matter tracts in the rat spinal cord
Frontiers in Neuroanatomy, 2022 The white matter is organized into “tracts” or “bundles,” which connect different parts of the central nervous system. Knowing where these tracts are located in each individual is important for understanding the cause of potential sensorial, motor or ...
Harris Nami +4 more
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Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey [PDF]
Neutrosophic Sets and Systems, 2021 Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis.
N.N. Mostafa, K. Ahmed, I. El-Henawy
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