Sentence examples for math cluster from inspiring English sources

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A parent in a river town asked for her child to be paired in a math cluster with an Asian-American child -- on the first day of school, before any testing had occurred.. Still, most teachers try hard to show their students the world beyond their ZIP codes, even if it means stretching the meaning of the word diversity.

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American 15-year-olds' average scores in science and (especially) in math are clustered near the middle of international rankings with those of other OECD countries (France, United Kingdom, Russia, Italy, or Spain), but below those of some other reasonably large OECD countries such as Japan and South Korea.

Using recent advances in clustering math, Katango takes only a few seconds to create multiple groups of users who interact with one another.

Kathleen Martin stood in front of a white board covered with math problems, her class clustered at her feet.

The cophenetic correlation coefficient was computed to establish the goodness of fit of the clustering (Matlab, MathWorks, Natick, MA, Version 7.3.0.267).

We then performed a hierarchical clustering (MATLAB, MathWorks) of all of the genes that (1) had expression levels above the median of all of the gene expression levels in at least one sample and (2) had a variance in the expression level that was above the median variance of all of the genes.

The hotspots of polymorphic genes co-localize with the c-type lectin, nuclear hormone receptor (nhr), and math genes, and chemoreceptor gene clusters [ 41].

We used one way analysis of variance to estimate the intraclass correlation coefficient as a measure of clustering of endline math score and glasses wear within school.

K-means clustering (MATLAB, 2009b; The MathWorks), using squared euclidean distance measure, and performing a preliminary clustering phase on a random 10% subsample of the matrix, was implemented for a range of k clusters (k = 2 20) for both DMA1 and DMA2 pairwise matrices.

K-means clustering (MATLAB, 2009b, The MathWorks; squared euclidean distance measure) was implemented for a range of k clusters (k = 2-20).

For this purpose the perfusion territories of the left ICA, right ICA and basilar artery were first identified using k-means clustering with Matlab (The MathWorks, Natick, Mass, version 7.5) [ 20].

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