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ASteCA: Automated Stellar Cluster Analysis
(Edp Sciences, 2015)
We present the Automated Stellar Cluster Analysis package (ASteCA), a suit of tools designed to fully automate the standard tests applied on stellar clusters to determine their basic parameters. The set of functions included ...
Kinematic parameters and membership probabilities of open clusters in the Bordeaux PM2000 catalogue
(EDP SCIENCES S A, 2010)
Aims. We derive lists of proper-motions and kinematic membership probabilities for 49 open clusters and possible open clusters in the zone of the Bordeaux PM2000 proper motion catalogue (+ 11 degrees <= delta <= + 18 ...
EVOLUTION OF ADENINE CLUSTERING IN 5S RIBOSOMAL-RNA
(Tubingen Univ Press Attempto Verlag, 1992-12-01)
The frequency of adenine mononucleotides (A), dinucleotides (AA) and clusters, and the positions of clusters, were studied in 502 molecules of the 5S rRNA.All frequencies were reduced in the evolutive lines of vertebrates, ...
Clustering using PK-D: A connectivity and density dissimilarity
(Pergamon-Elsevier Science Ltd, 2016-06)
We present a new dissimilarity, which combines connectivity and density information. Usually, connectivity and density are conceived as mutually exclusive concepts; however, we discuss a novel procedure to merge both ...
Clustering binary data by application of combinatorial optimization heuristics
(2019-08-09)
We study clustering methods for binary data, first defining aggregation criteria that measure the compactness of clusters. Five new and original methods are introduced, using neighborhoods and population behavior combinatorial ...
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 ...
The detection of spatial clusters: graph and dynamic programming based methods
(Universidade Federal de Minas GeraisUFMG, 2011-07-01)
This thesis addresses the spatial and space-time cluster detection problem. Two algorithms to solve the typical problem for spatial data sets are proposed. A fast method for the detection and inference of point data set ...
Clustering multivariate climate data streams using fractal dimension
(Laboratório Nacional de Computação Científica - LNCCCentro Federal de Educação Tecnológica Celso Suckow da Fonseca - Cefet/RJPetrópolis, 2015-10)
A data stream is a flow of data produced continuously along the time. Storing and analyzing such information become challenging due to exponential growth of the data volume collected. In this context, some methods were ...
Dynamic Rough-Fuzzy Support Vector Clustering
(IEEE, 2017)
Clustering is one of the main data mining tasks with many proven techniques and successful real-world applications. However, in changing environments, the existing systems need to be regularly updated in order to describe ...