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The reliability of the model results was tested under well defined boundary conditions by comparing the results with those from a two dimensional numeric groundwater model under steady-state and transient conditions as well as with observed data for two meso-scale basins, using contour maps of the long term mean water table, observed groundwater level data in wells and observed river discharge.
Next, for each OMIM record, we counted the frequency of occurrence of each concept in the record, obtaining a high dimensional numeric vector.
Given the aforementioned theoretical work plus our own simulation of a smaller scaled data set and reduction of the high dimensional numeric data (see Additional file 1), we are convinced that the clustering of the samples using the mod k-prototypes algorithm is not dependent on the scale or dimensionality of the data.
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In this paper we propose an automated approximate design method for the fast hardware generation of two-dimensional numeric functions.
ABC tries to simulate the intelligent behavior of real honey bees in food foraging and can be used for solving continuous optimization and multi-dimensional numeric problems.
This work compares the performance of ABC algorithm with that of differential evolution (DE), particle swarm optimization (PSO) and evolutionary algorithm (EA) for multi-dimensional numeric problems.
The system hardware is composed of a 5 kW CO2 laser, a three-dimensional numeric control table, a three-stock-bin coaxial powder delivery device, and an integration operation control desk.
Different trends exist in the high-dimensional numeric data, and to highlight a particular trend an appropriate distance measure needs to be chosen.
We would like to emphasize that different trends exist in the high-dimensional numeric data, and different distance measures highlight differently some of these trends.
Then a random forest classification model was constructed based on the key features extracted from high-dimensional numeric vectors to predict synergistic drug combinations.
Focusing on whole-genome microarrays for a total of 44,775 transcripts across 79 tissues [ 26], we characterized each human gene with a 79-dimensional numeric vector that represented expression levels of the gene across the tissues.
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