Sentence examples for discriminated cluster from inspiring English sources

The employment status discriminated cluster 2 ("absence of care") from cluster 3 ("Intermediate level of care").

Cluster BN was completely included in Cluster BT, and the majority of the BAC clones that significantly discriminated Cluster BN from Cluster AN also discriminated Cluster BT from Cluster AT.

The 724 BAC clones, the majority of the 1143 BAC clones significantly discriminating Cluster BN from Cluster AN, also discriminated Cluster BT from Cluster AT (Wilcoxon test, P < 0.01).

In particular, the discriminating factor and group centroids clearly show that function 1 discriminates cluster I from clusters II and III, whereas function 2 distinguishes cluster II from clusters I and III.

We did not discriminate cluster size based on location; thus, our estimate of 8 channels/cluster combines dyadic and extra-dyadic populations.

Therefore, this unsupervised methodology is indeed able to discriminate clusters of patients with statistically significant average SUV values.

However, these methods are dedicated to discriminating, clustering and retrieving CAD models, and not to accurately identifying and locating differences between models.

The most well-known subspace analysis technique is subspace clustering which is illustrated in Fig. 2. Subspace clustering algorithms search for clusters not in the whole data space, but within different subsets of dimensions (called subspaces) in which discriminating clusters can be found [14].

Pairwise differences were estimated among outbreak and reference population isolates to discriminate clusters against a background population.

Furthermore, a correlation analysis of the significantly regulated proteins across all experimental conditions identified a clear genotype discriminating clustering of the protein expression data.

First, a hierarchical cluster analysis was conducted using the 3 factors: difficulty identifying feelings; difficulty describing feelings; externally oriented cognitive style of thinking scores of TAS-20 as the clustering variables and the between-group linkage method with a squared Euclidean distance measure to discriminate clusters.