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Students' GPAs were clustered to the nearest quarter grade in the plots, and the error bars represent the SEM.
Students' GPAs were clustered to the nearest quarter grade in the plots, and the error bars represent a 95% confidence level.
The remaining conformations in the dataset are then clustered to the nearest microstate centers according to the root mean square deviation (RMSD) of all heavy atoms in the peptide.
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The standard deviation of this average also increases by 0.12 Å (from 0.24 Å to 0.36 Å) and may reflect the rounding of RMSD cluster to the nearest 0.2 increment, potentially suggesting the ± 0.1 nature of such a change.
It then assigns proxy clusters and singleton SNPs (that did not group within a proxy cluster) to the nearest gene.
Therefore, we check the data points in the cluster to find the nearest points from the outermost position of the cluster.
By matching each cluster to the corresponding nearest neighbor filter grain, the angle of deposition at the filter grain surface was calculated for a representative single sphere collector.
We used K-means clustering to assign the mean transcriptional value of each gene to the cluster whose center is nearest.
In this paper, we propose a heuristic to find the near-optimal clusters and apply local optimal CPG algorithm on each cluster to get the near global optimal solution.
J. C. Conrad, P. P. Dhillon, E. R. Weeks, D. R. Reichman and D. A. Weitz, Contribution of slow clusters to the bulk elasticity near the colloidal glass transition.
After clustering, every sample was mapped to the nearest cluster centroid and the relative distance to the target was stored for that cluster.
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