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It is used for approximation and data reduction, and for data reduction in cases the curve or surface does not change neither geometrically nor parametrically.
The effectiveness of SPs is then demonstrated in two real-world applications, the first for reducing long Markov Chain Monte Carlo (MCMC) chains for rocket engine design, and the second for data reduction in computationally intensive predictive modeling.
The rough set theory (RST), which has recently become well known as a data-mining technique, is a good tool for data reduction in qualitative analysis.
Table 2 Summary of data reduction in C. elegans, chromosomes I V.
There is no data reduction in Immunos1, and it is similar to the k-nearest neighbors.
Second, we define a solution for data reduction in the case of fuzzy binary relations.
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Sublinear sampling algorithms have also been proposed for data reduction [18] in the analysis of stationary graphs.
Data reduction resulted in the 3 subscales namely EE, DP and PA.
An iterative process of data reduction resulted in emerging aspects that influence seminar learning.
Figure 3 summarizes 2,125 metabolite features (after data reduction) detected in the intracellular extracts of murine macrophage.
The subspace feature selection methods are probably the most used data reduction techniques in proteomics for their popularity and efficiency.
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