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Close sample clustering indicates their compositional similarity, whereas distant sample clustering suggests their diverse metabolomic compositions [17].
In this way the spacing between consecutive bands of interest can be physically increased, allowing precise isolation of spatially close sample zones.
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Reduction, but not complete suppression, of edge enhancement is possible with close sample-to-detector distances.
Our results show that species distributions can be highly dynamic even in sheltered, tropical forest soils, so that conclusions on the drivers of observed distributions can change between close sampling times.
In contrast, SVM training helps to 'learn a rule for separation and discrimination of the samples' by exploiting the advantage that the similarities between close samples are enhanced in the new reduced feature space.
When recognizing a query, the similarity measures must be calculated for all samples to find the closest sample.
We see for each of the "misplaced" samples that the correspondent group is not the closest one, and furthermore, the closest sample does not belong to their group.
In Table 2 we show the average distance of the samples to the surrounding groups of samples and its closest sample.
The dry residual powder of aqueous ethanol extract was kept in tightly closed sample tubes at room temperature.
For one of the samples from China (in the center of the rose), the circle appearing on mouseover the closest sample from China contains several samples from Europe or US inside.
The genome function in PLINK (v1.07) [ 30] was used for pair-wise comparisons to verify that, based on pair-wise IBS distance values (DST), the closest sample match for each RNA sample came from its corresponding DNA sample.
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