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Ensemble clustering via heuristic optimisation [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
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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, 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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A hybrid clustering method based on the several diverse basic clustering and meta-clustering aggregation technique [PDF]
, 2022 In hybrid clustering, several basic clustering is first generated and then for the clustering aggregation, a function is used in order to create a final clustering that is similar to all the basic clustering as much as possible.
Saeidlou, Salman, Lu, Bei, Zhou, Bing
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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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Application of Multivariate-Rank-Based Techniques in Clustering of Big Data
Vikalpa, 2018 Executive Summary Very large or complex data sets, which are difficult to process or analyse using traditional data handling techniques, are usually referred to as big data.
Pritha Guha
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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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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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