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Optimization of large economy and power engineering systems leads to degenerate solutions of a high dimensionality.
Scanning a training image using a large template size brings about a high dimensionality of the extracted patterns; a preprocessing step would therefore be required to reduce data dimension as much as possible and select part of the features optimally; running clustering algorithms on such a high-dimensional dataset demands for a large computational burden and time.
Their choice might significantly affect the sensitivity and specificity of the findings, given a high dimensionality of the data and the numerous error sources that affect them.
The use of the adapted FRFS allows the induction of low-dimensionality feature sets from feature patterns of a much higher dimensionality.
Here, we develop a systematic approach to reduce the dimensionality of a high dimensional ODE based model of αCaMKII-CPEB1 molecular loop.
Like EIGENSTRAT, sNMF can be thought of as a feature extraction approach aimed at reducing the dimensionality of a high dimensional dataset.
The modified GGM is considered appropriate for analysis of microarray data that usually has a high-dimensionality problem (i.e. the number of genes is much higher than the number of measurements).
On one hand, it projects the examples into a space of higher dimensionality by means of a kernel function [28].
All these dimers possess a promising potential for the elaboration of semiconducting materials with a charge transport of higher dimensionality compared to quaterthiophene.
Both methods are here applied and discussed in a context of considerably higher dimensionality: the Upper Mississippi River floods.
In principle, recording a smaller number of higher dimensionality spectra can provide a complementary approach to increase signal dispersion and resolve ambiguities8.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com