Sentence examples for and selected the nearest from inspiring English sources

In cases where the species were missing we returned to the original unsorted taxonomy and selected the nearest relative available in the collection, in random order (up or down the printed list).

Using the EEG sampling rate, we calculated the FFT size necessary for a resolution of 0.5 Hz and selected the nearest higher FFT size available in LabChart.

In [44], Kim et al. then proposed another type of fixed partition method which divides the unit ball into k equal cones by using a regular k-polyhedron and selects the nearest neighbor in each cone.

Then, calculate the distances between v1 and all the basic beams, and select the nearest one c i and the farthest one c j, i = arg max i ∈ [ 1, 2, …, N v N h ] v 1 H c i v 1 · c i, j = arg min i ∈ [ 1, 2, …, N v N h ] v 1 H c j v 1 · c j. (13).

This is done by comparing the distances to all other prototypes (including the new cluster) and selecting the nearest: p_{i} leftarrow mathop {arg ;hbox{min} }limits_{1 le j le k} ;left| {x_{i},c_{j} } right|^{2} quad forall quad p_{i} = s (5).

Starting at the peak voxel for the chosen cue value signal in ventromedial prefrontal cortex and nucleus accumbens, which was identified by looking over all correct trials (in both the ON and OFF drug states), we selected the nearest maximum in these cross-validation second-level analyses.

We selected the nearest (in terms of the propensity score) "untreated" neighbors to a "treated" case.

Or click on the "Full 70 days schedule" label and select the route nearest to you.

A population of 400 lines was selected from the 1807 original lines by forming 400 k-means clusters based on the SNP data and selecting the line nearest the centroid.

SNPs composing the polygenic effect were selected by forming 400 k-means [41] clusters of SNP markers from Barley CAP genotype data and selecting the SNP nearest the centroid of each cluster.

Given a sequence S, we calculate the distance metrics of sequence S with other sequences and select the k-nearest sequences.