Results 11 to 20 of about 6,328,755 (391)

Persistence in cluster-cluster aggregation [PDF]

open access: yesPhysical Review E, 2002
14 pages, 12 figures, RevTeX, submitted to Phys.
E. K. O. Hellén, Mikko J. Alava
openaire   +7 more sources

Cluster lenses [PDF]

open access: yesThe Astronomy and Astrophysics Review, 2011
Clusters of galaxies are the most recently assembled, massive, bound structures in the Universe. As predicted by General Relativity, given their masses, clusters strongly deform space-time in their vicinity. Clusters act as some of the most powerful gravitational lenses in the Universe.
Kneib, Jean-Paul, Natarajan, Priyamvada
openaire   +8 more sources

Clustering of CODEX clusters [PDF]

open access: yesAstronomy & Astrophysics, 2021
Context. The clustering of galaxy clusters links the spatial nonuniformity of dark matter halos to the growth of the primordial spectrum of perturbations. The amplitude of the clustering signal is widely used to estimate the halo mass of astrophysical objects.
N. Padilla   +12 more
openaire   +7 more sources

Clustering cluster algebras with clusters

open access: yesAdvances 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
openaire   +3 more sources

To cluster, or not to cluster: An analysis of clusterability methods [PDF]

open access: yesPattern Recognition, 2019
Clustering is an essential data mining tool that aims to discover inherent cluster structure in data. For most applications, applying clustering is only appropriate when cluster structure is present. As such, the study of clusterability, which evaluates whether data possesses such structure, is an integral part of cluster analysis. However, methods for
Andreas Adolfsson   +2 more
openaire   +3 more sources

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks [PDF]

open access: yesKnowledge Discovery and Data Mining, 2019
Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging.
Wei-Lin Chiang   +5 more
semanticscholar   +1 more source

The case study of Villa Beatrice d’Este: management planning of a multi-layered site with Medieval ruins in the Veneto Region, Italy

open access: yesOchrona Dziedzictwa Kulturowego, 2020
Villa Beatrice d’Este is a 17th century Venetian Villa in the Veneto Region, Italy, located within the area of the Euganean Hills Regional Park. The villa was built to replace a previous 13th century Medieval Monastery, whose structure was integrated in ...
Valentina Gamba   +3 more
doaj   +1 more source

Clustering Cycles into Cycles of Clusters [PDF]

open access: yesJournal of Graph Algorithms and Applications, 2005
In this paper we study the clustered graphs whose underlying graph is a cycle. This is a simple family of clustered graphs that are “highly non connected”. We start by studying 3-cluster cycles, that are clustered graphs such that the underlying graph is a simple cycle and there are three clusters all at the same level.
PIER FRANCESCO CORTESE   +3 more
openaire   +4 more sources

The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choice

open access: yesBMC Public Health, 2018
Background Most studies on food choice have been focussing on the individual level but familial aspects may also play an important role. This paper reports of a novel study that will focus on the familial aspects of the formation of food choice among men
Lukas Schwingshackl   +13 more
doaj   +1 more source

Clustering of B ¯ → D ∗ τ − ν ¯ τ $$ \overline{B}\to {D}^{\left(\ast \right)}{\tau}^{-}{\overline{\nu}}_{\tau } $$ kinematic distributions with ClusterKinG

open access: yesJournal of High Energy Physics, 2020
New Physics can manifest itself in kinematic distributions of particle decays. The parameter space defining the shape of such distributions can be large which is chalenging for both theoretical and experimental studies.
Jason Aebischer   +2 more
doaj   +1 more source

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