Results 11 to 20 of about 3,155,909 (302)
Clustering cluster algebras with clusters
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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To cluster, or not to cluster: An analysis of clusterability methods [PDF]
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
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Persistence in cluster-cluster aggregation [PDF]
Persistence is considered in diffusion--limited cluster--cluster aggregation, in one dimension and when the diffusion coefficient of a cluster depends on its size $s$ as $D(s) \sim s^γ$. The empty and filled site persistences are defined as the probabilities, that a site has been either empty or covered by a cluster all the time whereas the cluster ...
Hellén, E.K.O., Alava, M.J.
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Clustering Cycles into Cycles of Clusters [PDF]
Summary: We study simple families of clustered graphs that are highly unconnected. We start by studying 3-cluster cycles, which are clustered graphs such that the underlying graph is a simple cycle and there are three clusters all at the same level. We show that in this case, testing the c-planarity can be done efficiently and give an efficient drawing
Pier Francesco Cortese +3 more
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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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We consider the following problem: given a set of clusterings, find a single clustering that agrees as much as possible with the input clusterings. This problem, clustering aggregation , appears naturally in various contexts.
Aristides Gionis +2 more
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Restrição à Liberdade Religiosa no Mundo: Caracterização de Clusters e Definição de Modelos Explicativos [PDF]
RESUMO Este artigo tem dois objetivos. Primeiro: define-se e caracteriza-se clusters de restrição à liberdade religiosa (ou restrição religiosa), a nível mundial, assente em fatores religiosos, culturais, políticos, económicos, sociais e demográficos ...
José Pereira Coutinho
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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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Clustering technique for conceptual clusters [PDF]
Clustering aims to classify elements into groups called classes or clusters. Clustering is used in reverse-engineering to help to understand legacy software. It is also a tech-nic used in re-engineering to propose gatherings of software entities to engineers who can then accept them or not. This paper presents a Pharo implementation of an iterative and
Govin, Brice +3 more
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Computer simulation of structure and dimensions of oxygen-octaadric clusters in lithium niobate crystal and the dynamics of their development with changes in composition [PDF]
The peculiarities of formation of energetically equilibrium dipole oxygen-octahedral clusters in the structure of a ferroelectric crystal of lithium niobate (LiNbO3) have been studied by computer simulation.
V.M. Voskresensky +3 more
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