Results 11 to 20 of about 3,770,727 (360)
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, M-W +5 more
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To cluster, or not to cluster: An analysis of clusterability methods [PDF]
Pattern 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
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Persistence in cluster-cluster aggregation [PDF]
Physical Review E, 2002 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]
Journal of Graph Algorithms and Applications, 2005 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 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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Single-cell analysis reveals fibroblast clusters linked to immunotherapy resistance in cancer.
Cancer Discovery, 2020 A subset of Cancer-Associated Fibroblasts (FAP+/CAF-S1) mediates immunosuppression in breast cancers (BC), but its heterogeneity and its impact on immunotherapy response remain unknown.
Y. Kieffer +15 more
semanticscholar +1 more source
Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation
, 2004 The paper is concerned with spatial clustering of economic activity and its relation to the spatiality of knowledge creation in interactive learning processes.
H. Bathelt, A. Malmberg, P. Maskell
semanticscholar +1 more source
ACM Transactions on Knowledge Discovery from Data, 2005 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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Clustering technique for conceptual clusters [PDF]
Proceedings of the 11th edition of the International Workshop on Smalltalk Technologies, 2016 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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New Candidate Massive Clusters from 2MASS [PDF]
, 2013 Massive stars are important for the evolution of the interstellar medium. The detailed study of their properties (such as mass loss, rotation, magnetic fields) is enormously facilitated by samples of these objects in young massive galactic star clusters.
Dirk Froebrich, Froebrich, Dirk
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