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Clúster de turismo en salud: Contexto global de este modelo
(Sociedad Venezolana de Farmacología y de Farmacología Clínica y Terapéutica, 2020)
Objetivo: Identificar información actualizada y amplia sobre los
clústeres de turismo en salud, contemplando variables asociadas a estos
complejos productivos.
Metodología: Revisión bibliográfica en diversas bases de ...
A 3D Voronoi+Gapper Galaxy Cluster Finder in Redshift Space to z ∼ 0.2. II. An Abundant Cluster Population Dominated by Late-type Galaxies Unveiled
(IOP, 2020)
We identify 1901 galaxy clusters (N-g >= 2) with the VoML+G algorithm (Paper I) on the Two-Degree Field Galaxy Redshift Survey. We present the 341 clusters with at least 10 galaxies that are within 0.009 < z < 0.14 (the ...
Intrusion detection in computer networks using optimum-path forest clustering
(2012-12-01)
Nowadays, organizations face the problem of keeping their information protected, available and trustworthy. In this context, machine learning techniques have also been extensively applied to this task. Since manual labeling ...
Improving hierarchical document cluster labels through candidate term selection
(2012-09-03)
One way to organize knowledge and make its search and retrieval easier is to create a structural representation divided by hierarchically related topics. Once this structure is built, it is necessary to find labels for ...
Intrusion detection in computer networks using optimum-path forest clustering
(2012-12-01)
Nowadays, organizations face the problem of keeping their information protected, available and trustworthy. In this context, machine learning techniques have also been extensively applied to this task. Since manual labeling ...
Diversity control for improving the analysis of consensus clustering
(Elsevier Science Inc, 2016-09)
Consensus clustering has emerged as a powerful technique for obtaining better clustering results, where a set of data partitions (ensemble) are generated, which are then combined to obtain a consolidated solution (consensus ...
Algoritmo para el problema data streaming clustering para conjuntos amorfos y con outliers
(Universidad Nacional de San Antonio Abad del CuscoPE, 2021)
El presente trabajo tiene la finalidad de investigar sobre el tema de Clustering porque es un campo importante dentro de Machine Learning y ha sido ampliamente estudiado durante varios años. Como resultado, se desarrollaron ...
Competitiveness of Santana do Livramento honey clusterCompetitividade do cluster do mel em Santana do Livramento
(Universidade Federal de Santa Maria, 2023)