Results 21 to 30 of about 2,744,930 (320)
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.
George Efstathiou +3 more
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Monthly Notices of the Royal Astronomical Society, 2011 The unique properties of dark matter are revealed during collisions between clusters of galaxies, like the bullet cluster (1E 0657-56) and baby bullet (MACSJ0025-12). These systems provide evidence for an additional, invisible mass in the separation between the distribution of their total mass, measured via gravitational lensing, and their ordinary ...
Nagai, Daisuke +5 more
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Bridging the Molecular-Cellular Gap in Understanding Ion Channel Clustering
Frontiers in Pharmacology, 2020 The clustering of many voltage-dependent ion channel molecules at unique neuronal membrane sites such as axon initial segments, nodes of Ranvier, or the post-synaptic density, is an active process mediated by the interaction of ion channels with scaffold
Valerie Abigail Nirenberg, Ofer Yifrach
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Acoustic animal identification using unsupervised learning
Methods in Ecology and Evolution, 2023 Passive acoustic monitoring is usually presented as a complementary approach to monitoring wildlife communities and assessing ecosystem conditions. Automatic species detection methods support biodiversity monitoring and analysis by providing information ...
Maria J. Guerrero +4 more
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Robust hierarchical k-center clustering [PDF]
, 2015 One of the most popular and widely used methods for data clustering is hierarchical clustering. This clustering technique has proved useful to reveal interesting structure in the data in several applications ranging from computational biology to computer
Lattanzi, Silvio +3 more
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Clusters of entrepreneurship [PDF]
Journal of Urban Economics, 2009 Employment growth is strongly predicted by smaller average establishment size, both across cities and across industries within cities, but there is little consensus on why this relationship exists. Traditional economic explanations emphasize factors that reduce entry costs or raise entrepreneurial returns, thereby increasing net returns and attracting ...
Giacomo A. M. Ponzetto +4 more
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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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Clustering Cycles into Cycles of Clusters [PDF]
Journal 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
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Genetics Selection Evolution, 2008 A procedure to measure connectedness among groups in large-sized genetic evaluations is presented. It consists of two steps: (a) computing coefficients of determination (CD) of comparisons among groups of animals; and (b) building sets of connected ...
Laloë Denis +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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