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On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model
(Wiley, 2013-07)
Hierarchical clustering is applied to a boundary layer model output that describes the low-level wind field over the La Plata River region of South America. The model output consists of 180 17-dimensional vectors per season ...
Identificación de asociaciones clínico-patológicas e hipermetilación de genes supresores de tumores en cáncer gástrico difuso a través de análisis de hierarchical clustering
(2007)
Background: Methylation is an inactivation mechanism for tumor suppressor genes, that can have important clinical implications. Aim: To analyze the methylation status of 11 tumor suppressor genes in pathological samples ...
How frequently do clusters occur in hierarchical clustering analysis? A graph theoretical approach to studying ties in proximity
Background: Hierarchical cluster analysis (HCA) is a widely used classificatory technique in many areas of scientific knowledge. Applications usually yield a dendrogram from an HCA run over a given data set, using a grouping ...
Multivariate analysis of fresh-cut carambola slices stored under different temperatures
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
Quality of fresh-cut carambola (Averrhoa carambola L) is related to many chemical and biochemical variables especially those involved with softening and browning, both influenced by storage temperature. To study these ...
Multivariate analysis of fresh-cut carambola slices stored under different temperatures
(Elsevier B.V., 2012-01-01)
Quality of fresh-cut carambola (Averrhoa carambola L) is related to many chemical and biochemical variables especially those involved with softening and browning, both influenced by storage temperature. To study these ...
Multivariate analysis of fresh-cut carambola slices stored under different temperatures
(Elsevier B.V., 2012-01-01)
Quality of fresh-cut carambola (Averrhoa carambola L) is related to many chemical and biochemical variables especially those involved with softening and browning, both influenced by storage temperature. To study these ...
GPGPU workload characterization using memory bottleneck detection and hierarchical clustering analysis
The use of Graphic Processing Units (GPU) for General Computing (GPGPU) has become increasingly common in recent years. In this type of processor, memory bottlenecks are a critical issue and the way data are commissioned ...
Análisis de clasificación de aspirantes en procesos de selección de la compañía Galletas Noel
(Medellín, Colombia, 2021)