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QuickDBC: uma separação rápida de clusters baseada em densidade para espaços métricos
(Universidade Tecnológica Federal do ParanáPato BrancoBrasilDepartamento Acadêmico de InformáticaEngenharia de ComputaçãoUTFPR, 2018-12-06)
The class identification task for spatial databases can be achieved by clustering algorithms. However, it requires a domain knowledge to determine some input parameters to discover clusters and the improvement of its ...
Ni clusters embedded in multivacancy graphene substrates
(Pergamon-Elsevier Science Ltd, 2020-03)
In the present study, we performed density functional theory (DFT) calculations in order to study the structure and stability of small Ni clusters embedded in graphene multivacancy systems. The Bader charges, band structure, ...
Washington CCD Photometry of the Globular Cluster System of the Giant Elliptical Galaxy M60 in Virgo
(2008)
We present a photometric study of the globular clusters in the giant elliptical galaxy M60 in the Virgo cluster, based on deep, relatively wide field Washington CT_1 CCD images. The color-magnitude diagram reveals a ...
Multi-Dimensional Clustering of Roles in the NBA
(ITESO, 2021)
Advanced Clustering Techniques for Emotional Grouping in Learning Environments Using an AR-Sandbox
Recently, it has been proven that the emotional aspect directly influences the learning process, so that, based on data mining techniques, this behavior has been sought to be characterized. This has made clustering techniques ...
Its moderately extended low-density halo and its accretion history
(EDP Sciences, 2020-02-06)
We present results based on Dark Energy Camera Legacy Survey (DECaLS) DR8 astrometric and photometric data sets of the Milky Way globular cluster Pal 13. Because of its relatively small size and mass, there is not yet a ...
OVMMSOM: A Variation of MMSOM and VMSOM as a Clusterization Technique
(IEEE Computer Society, 2017)
In this paper the Optimized Vector and Marginal Median Self-Organizing Map (OVMMSOM) was proposed as a new method of train Self-Organizing Maps (SOM). This variant is based on order statistics, Marginal Median SOM (MMSOM) ...
Identificación de patrones de congestionamiento vehicular utilizando algoritmos de agrupamiento de trayectorias basados en densidad.
(Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales., 2022)
ciudades alrededor del mundo, teniendo un impacto considerable sobre las personas afectadas y el medio ambiente. La identificación de patrones o indicadores de congestionamiento vehicular mediante el uso de algoritmos de ...
Characterisation of young stellar clusters
(EDP SCIENCES S ALES ULIS CEDEX A, 2012)
Aims. Several embedded clusters are found in the Galaxy. Depending on the formation scenario, most of them can evolve to unbounded groups that are dissolved within 10 Myr to 20 Myr. A systematic study of young stellar ...
A Rough-Fuzzy approach for Support Vector Clustering
(Elsevier, 2016)
Support Vector Clustering (SVC) is an important density-based clustering algorithm which can be applied in many real world applications given its ability to handle arbitrary cluster silhouettes and detect the number of ...