Sentence examples for average cluster analysis from inspiring English sources

Exact(4)

A similarity profile test (SIMPROF) was performed on group average cluster analysis to test the null hypothesis that the macro- and meiobenthic samples do not differ from each other.

Four clusters were classified according to the unweighted pair-group method with arithmetic average cluster analysis of 18 genotypes.

Bayesian analysis, unweighted pair group method with arithmetic average cluster analysis and principal coordinates analysis all showed similar results.

A simple matching coefficient was used as a measure of similarity, and a dendrogram was constructed using group average cluster analysis.

Similar(56)

A group-average cluster analysis was conducted with the Bray-Curtis similarity matrix and, based on the generated cluster dendrogram, a 25% similarity threshold was superimposed on the nMDS ordinations for the rehabilitated and reference sites.

The chemical variability of the essential oils among samples was assessed by linear discriminant analysis and UPGMA (unweighted pair-group method with averaging) cluster analysis.

Grouping of the RAPD-PCR profiles was obtained with the BioNumeric 5.0 software package (Applied Maths, Kortrijk, Belgium), following the unweighted pair-group method with arithmetic averages cluster analysis.

We have also used the average linkage cluster analysis (ALCA) to observe the cluster structure more clearly.

Both hierarchical average linkage cluster analysis and non-hierarchical K-means cluster analysis converged on a 20-cluster solution with strong statistical criteria support and excellent agreement in cluster memberships, which can be reasonably interpreted from a chemical perspective.

A hierarchical average linkage cluster analysis displayed the DEGs of the three genotypes in two genetic background-dependent clusters.

Hierarchical clustering of genes expressed in at least one sample was performed using average linkage cluster analysis (Cluster 3.0), and the results were visualized using Java Treeview 1.0 software (Stanford University School of Medicine, Stanford, CA).

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