Sentence examples for clustering is expected from inspiring English sources

The result multivariate clustering is expected to be roughly elliptical [13].

Optimal clustering is expected to maximize residue alignment affinity within clusters and minimize it between them.

This clustering is expected both for structurally conserved residues, as they form the structural core, and for functionally conserved residues, which are usually localized on the surface, at the functional site of the protein.

Annual declines in TB incidence were paralleled by similar declines in the proportion of cases with genotypes in clusters, a finding consistent with the hypothesis that decreased clustering is expected with declining incidence (20).

In this case, since there are environmental factors that favor the appearance of burnout, at least moderate intraclass clustering is expected, for which we estimate the design factor will be ~2.

Moreover, the distance between the neighboring two Sc atoms (5.61 Å) is considerably larger than that of the Sc2 dimer (3.20 Å), therefore, the problem of Sc atoms aggregative to form the Scn cluster is expected to be overcome.

Membership in the National interest cluster is expected to have a negative influence on WTP as these individuals are more concerned about national security and less concerned about the environment.

Using membership in the Neutral cluster as the base case, membership in the Environmental cluster is expected to have a positive influence on WTP for emission reductions, as members of the Environmental cluster tend to have strong views about the importance of protecting the environment.

Additionally, the major advantage of the multi-layer clustering algorithm is that no explicit definition of the distance measure among instances (patients) is necessary and that no explicit definition of the number or size of the resulting clusters is expected from the user [12].

In our case, this means that the bit rate observed at the same time with the parameters that formulate one data sample of the cluster is expected to be the same with the respective bit rate of the other data samples of the same cluster.

The preliminary step, i.e., the fine grained clustering operation, divides the temporal expression data into a large number of clusters in which the similarity between the different expression profiles in a cluster is expected to be very high.