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Showing 1 to 20 of 26 for “"Cluster Structure"”.

  1. Cluster Structure for Mirkovic-Vilonen Cycles and Polytopes

    … Lie algebras and compare this to the associated cluster algebra to investigate the question of whether or not the cluster variables are in the MV basis. We begin with finding analogues of the cluster structure among MV cycles and MV polytopes. In particular, we show the exchange relations …

    toronto-retro Repository record for Cluster Structure for Mirkovic-Vilonen Cycles and Polytopes (opens in a new tab)

  2. Structural studies of some polynuclear carbonyl clusters of ruthenium and osmium and their complexes with small organic molecules and hydrogen

    X-ray analyses of fifteen carbonyl clusters of ruthenium and osmium have been completed which demonstrate several new aspects of cluster structure.

    london-metro Repository record for Structural studies of some polynuclear carbonyl clusters of ruthenium and osmium and their complexes with small organic molecules and hydrogen (opens in a new tab)

  3. Prediction with Mixture Models

    … the model can provide useful insights into the structure of the data. If the data has an inherent partitioned structure, it is natural to mirror this structure in the model. Such mixture models predict by combining the individual predictions generated by the mixture components which correspond …

    potsdam-diss Repository record for Prediction with Mixture Models (opens in a new tab)

  4. The Influence of Physical Processes in Galaxy Clusters on Observable Cluster Scaling Relations

    Clusters of galaxies, which occupy a unique position in hierarchical structure formation, are invaluable cosmological probes and laboratories for astrophysical processes. Cluster scaling relations, which connect their masses and observable properties, provide the link between these two roles. …

    uiuc Repository record for The Influence of Physical Processes in Galaxy Clusters on Observable Cluster Scaling Relations (opens in a new tab)

  5. Methods of Determining the Number of Clusters in a Data Set and a New Clustering Criterion

    In cluster analysis, a fundamental problem is to determine the best estimate of the number of clusters, which has a deterministic effect on the clustering results. However, a limitation in current applications is that no convincingly acceptable solution to the best-number-of-clusters problem is …

    vt Repository record for Methods of Determining the Number of Clusters in a Data Set and a New Clustering Criterion (opens in a new tab)

  6. Generalized Bäcklund-Darboux transformations for Coxeter-Toda systems on simple Lie groups

    … Coxeter-Toda systems on simple Lie groups from a cluster algebraic prospective, using the cluster structure on Coxeter double Bruhat cells developed by Fock-Goncharov, Gekhtman et al. and Williams, thereby generalizing the construction developed by Gekhtman et al. We will then show that these …

    uiuc Repository record for Generalized Bäcklund-Darboux transformations for Coxeter-Toda systems on simple Lie groups (opens in a new tab)

  7. Categorifications of Cluster Varieties

    … varieties whose coordinate rings admit a cluster algebra structure. The presence of a cluster structure has important implications for the geometry of a variety including the existence of canonical linearly independent sets of regular functions. Additionally, methods for studying cluster

    cambridge Repository record for Categorifications of Cluster Varieties (opens in a new tab)

  8. Dopant effects on solid-solid transitions in atomic clusters

    Multicomponent atomic clusters (i.e. nanoalloys) are currently a subject of intense interest because their properties can be tuned by adjusting the cluster size and composition. Previous work has demonstrated the sensitivity of cluster structure and melting temperature to the presence of a single …

    cambridge Repository record for Dopant effects on solid-solid transitions in atomic clusters (opens in a new tab)

  9. Cluster Analysis in High Dimensions: Robustness, Privacy, and Beyond

    Cluster analysis focuses on understanding the cluster structure of data, and is perhaps one of the most important subfields in high-dimensional data analysis. Traditionally, cluster analysis focuses on partitioning data into closely related groups, such as in k-means clustering and learning mixture …

    mit Repository record for Cluster Analysis in High Dimensions: Robustness, Privacy, and Beyond (opens in a new tab)

  10. Design, Synthesis, and Characterization of Magnetite Clusters using a Multi Inlet Vortex Mixer

    … resonance imaging contrast agents. Magnetite clusters are of particular interest for these applications because they provide higher magnetic flux (under a magnetic field) than individual magnetite nanoparticles, are biocompatible, and their size and compositions can be controlled. This thesis …

    vt Repository record for Design, Synthesis, and Characterization of Magnetite Clusters using a Multi Inlet Vortex Mixer (opens in a new tab)

  11. Linkage Based Dirichlet Processes

    … a Bayesian mainstay for modeling heterogeneous structures, namely clusters, especially when the quantity of clusters is not known with the established MCMC methods. As opposed to many ad-hoc clustering methods, using Dirichlet Processes (DPs) in models provide a flexible and probabilistic …

    vt Repository record for Linkage Based Dirichlet Processes (opens in a new tab)

  12. Synthetic and Post-Synthetic Methods towards Fine Tuning the Chemical and Physical Properties of Metal-Organic Frameworks

    … on leveraging MOF-embedded polynuclear metal clusters for multi-electron redox chemistry. A square-planar tetramanganese cluster was shown to reversibly interconvert between molecular oxygen and metal-oxo species via a four-electron pathway. This reactivity was then investigated by varying the …

    mit Repository record for Synthetic and Post-Synthetic Methods towards Fine Tuning the Chemical and Physical Properties of Metal-Organic Frameworks (opens in a new tab)

  13. Thermal Analysis and Cation Doping of Nafion Membranes

    … differ in water content, freezable water, water cluster structure,</p> <p>water diffusion, and decomposition. Membranes of varying thickness in acid and sodium</p> <p>form have been tested in vapor sorption and FTIR for comparison.</p>

    uconn-diss Repository record for Thermal Analysis and Cation Doping of Nafion Membranes (opens in a new tab)

  14. Using Molecular Design to Influence Intermolecular Interactions

    … molecule conductance of cobalt chalcogenide clusters. The synthesis of cobalt chalcogenide clusters decorated with a variety of conjugated molecular connectors was developed. Single molecule conductance of these clusters was shown to take place through the molecular connectors, and was …

    columbia-diss Repository record for Using Molecular Design to Influence Intermolecular Interactions (opens in a new tab)

  15. Modeling transcriptomic dynamics and epigenomic conservation

    … biological process based on a new model of clustering of temporal gene expression patterns. With this method, we are able to compare different differentiation processes via internal or external stimulation and infer the underlying mechanism. With the improvement of data resolution and the …

    uiuc Repository record for Modeling transcriptomic dynamics and epigenomic conservation (opens in a new tab)

  16. Exploratory and confirmatory factor analyses of the symptom structure for autism spectrum disorders using the baby and the infant screen for children with autism traits

    … criteria and conceptualization of symptom structure have undergone many revisions. Currently, under the Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition-Text Revision (DSM-IV-TR; American Psychiatric Association (APA), 2000), ASD is defined by three symptom categories: …

    lsu-thes Repository record for Exploratory and confirmatory factor analyses of the symptom structure for autism spectrum disorders using the baby and the infant screen for children with autism traits (opens in a new tab)

  17. Electron microscopy characterisation of size-selected Pd clusters and industrial Pd catalysts

    … the morphology of palladium (Pd) size selected clusters and industrial Pd catalysts using high angle annular dark field scanning transmission electron microscopy (HAADF-STEM) technique. The driving force of this work is to establish reliable and efficient methods for the structural …

    birmingham Repository record for Electron microscopy characterisation of size-selected Pd clusters and industrial Pd catalysts (opens in a new tab)

  18. Learning Statistical and Geometric Models from Microarray Gene Expression Data

    … for easy and insightful understanding of data structure, we propose a novel statistical data clustering and visualization algorithm that is comprehensively effective for multiple clustering tasks and that overcomes some major limitations of existing clustering methods. The proposed clustering …

    vt Repository record for Learning Statistical and Geometric Models from Microarray Gene Expression Data (opens in a new tab)

  19. Understanding Deep Learning with Noisy Labels

    … (2) the representations exhibit an intrinsic cluster structure with respect to true labels. The benefits encourage learned classifiers to be aligned better with the optimal classifiers. The second part is devoted to understanding the connection between source-free domain adaptation (SFDA) and …

    uwo Repository record for Understanding Deep Learning with Noisy Labels (opens in a new tab)

  20. Ornithobacterium hominis isolates from a South African birth cohort

    … three distinct lipopolysaccharide biosynthesis clusters were identified, and the rearrangement hotspot cluster structure was resolved. South African O. hominis strains were found to be more closely related to Australian strains than to Maela strains from Thailand. Finally, core genes were …

    cape-town Repository record for Ornithobacterium hominis isolates from a South African birth cohort (opens in a new tab)

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