Sentence examples for each cluster were from inspiring English sources

Members of each cluster were comprised of both local and international actors.

In this phase, the distances between data objects and each cluster were computed using the Euclidean distance.

Profiles for each cluster were generated using information about the background of respondents and characteristics of their project.

Enlarged copies of the maps showing each cluster were given to the interviewers with instructions about the cluster boundaries.

For each patient, membership probabilities for each cluster were computed.

CpG sites in each cluster were contiguously located on the CpG island.

The silhouette values for the genes in each cluster were calculated (see Methods).

Sequence similarities among these Puf proteins in each cluster were analyzed and categorized (Fig. 2B).

To do this, genes in each cluster were annotated with their biological process GO terms.

The correlations among percentage of cases identified by epidemiologic investigation, PRT, and the duration of each cluster were calculated.

Average similarities of each cluster were calculated as arithmetic means using the pairwise similarity scores between each type of sequences.