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Paradigmatic Clustering for NLP
(Institute of Electrical and Electronics Engineers Inc., 2016)
How can we retrieve meaningful information from a large and sparse graph?. Traditional approaches focus on generic clustering techniques and discovering dense cumulus in a network graph, however, they tend to omit interesting ...
Métodos de machine learning con algoritmos de clúster no supervisados, una alternativa de segmentación de las pymes colombianas para plantear estrategias de acuerdo con sus condiciones económicas
(Universidad EAFITMaestría en Administración FinancieraEscuela de Economía y FinanzasBogotá, 2022)
This research created a new grouping alternative using machine learning tools such as K-means
and agglomerative clustering models, based on financial information from 2016 to 2019 of
10,001 Colombian SMEs. From these ...
Multispectral images segmentation using new fuzzy cluster centroid modified
(Institute of Electrical and Electronics Engineers Inc., 2017)
The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to ...
Constraining the Redshift Evolution of First Radio Sources in RCS1 Galaxy Clusters
(2011)
We conduct a statistical analysis of the radio source population in galaxy clusters as a function of redshift by matching radio sources from the Faint Images of the Radio Sky at Twenty-Centimeters catalog with 618 optically ...
CHSMST+: An algorithm for spatial clustering
(2017-06-07)
Spatial clustering has been widely studied due to its application in several areas. However, the algorithms of such technique still need to overcome several challenges to achieve satisfactory results on a timely basis. ...
Big bang methodology applied to atomic clusters
(2011)
An implementation of a novel strategy for cluster geometry optimization, using a stochastic method, is applied. This algorithm is based on the spirit of Big Bang theory. The strategy consists on a three-step procedure; a ...
A NEW METHOD TO QUANTIFY X-RAY SUBSTRUCTURES IN CLUSTERS OF GALAXIES
(IOP PUBLISHING LTDBRISTOL, 2012)
We present a new method to quantify substructures in clusters of galaxies, based on the analysis of the intensity of structures. This analysis is done in a residual image that is the result of the subtraction of a surface ...
Hierarchical density estimates for data clustering, visualization, and outlier detection
(ACMNew York, 2015-07)
An integrated framework for density-based cluster analysis, outlier detection, and data visualization is introduced in this article. The main module consists of an algorithm to compute hierarchical estimates of the level ...