Sentence examples for averages clustering method from inspiring English sources

A dendrogram of relatedness among the patterns was constructed by the unweighted pair group method with arithmetic averages clustering method.

Dendrograms were generated by using the categorical character option and the UPGMA (for unweighted pair-group method with arithmetic averages) clustering method.

Banding patterns were compared by the UPGMA Unweighted Pair Group Methodd with Arithmetic Averages) clustering method, by using the Dice coefficient, according to the manufacturer's instruction.

The average clustering method, as used by COS1 yielded unbalanced dendrograms, and as a result, most newly defined clusters consisted of only one cell or very few cells (see Supplementary Figs. 2 3).

A heatmap of average peptide transition peak intensities for each dilution above the cut-off of Pearson's critical r was constructed in pheatmap83 in R, with rows (transitions) and columns (dilutions) clustered using Euclidean distance and the average clustering method.

On the basis of different enzyme (cellobiase, CMCase, FPase and xylanase) production potential of the 19 fungal isolates, the cluster analysis was carried out and a dendrogram was generated by STATGRAPHICS and Group Average Clustering Method (Fig. 2).

A tailormade application for tie detection was developed in Common Lisp (CL) [34], running on Steel Bank Common Lisp (SBCL 1.055) under Linux (Ubuntu 14.04), using the simple average clustering method.

Analysis of MLGs used Clustering Calculator (http://www2.biology.ualberta.ca/jbrzusto/cluster.php), which generated a Phylip Drawtree string (unweighted arithmetic average clustering method, and Jaccard's similarity coefficient), which was converted into a dendrogram by Treeview (http://taxonomy.zoology.gla.ac.uk/rod/treeview.html)[48].

Euclidean distance measure and weighted pair-group average clustering method were used.

All heat maps were generated using the UPGMA (unweighted average) clustering method and the Euclidean distance similarity measure.

Hierarchical clustering was performed on this subset of probe sets for 28 non-control samples using Spotfire DecisionSite Functional Genomics software (Spotfire, Inc., Somerville, MA), Pearson correlation for the similarity measure, and the unweighted average clustering method.