Sentence examples for using the complete linkage from inspiring English sources

Cluster: Cluster the dataset using the complete linkage tool available on the website above.

Hierarchical clustering of samples based on their predicted probability values of oncogenic pathway activation was performed using the complete linkage algorithm with the Euclidean distance metric [37].

Hierarchical clustering of the expression profiles for both genes and samples was performed using the complete linkage method and euclidian distance metric.

Aligned sequences were assigned (97% identity) to OTU's (phylotype clusters) using the Complete Linkage Clustering application of the RDP pyrosequencing pipeline [35].

By applying the furthest neighbor approach using the Complete Linkage Clustering application of the RDP pyrosequencing pipeline, trimmed pyrosequencing sequences could be assigned to phylotype clusters of either 97% or 98% V4/V6 identity.

Agglomerative hierarchical clustering was applied using the complete linkage method to investigate whether there was evidence for natural groupings of tumor samples based on correlations between gene-expression profiles.

Because average and single linkage clustering algorithms are considered to be less conservative and more dependent on sampling intensity [47], we used the complete linkage algorithm with default parameters, except that we collapsed subsequent gaps to avoid overestimating distances from the rapidly diverging V6 region.

By limiting the height of the resultant hierarchical tree, we use the complete linkage method to seed the initial cluster centres for the compactness-scalable fuzzy K-means clustering algorithm.

For this analysis, we use the complete linkage method, which defines the distance between each cluster as with C A, B) the distance from cluster A to cluster B. The maximum function indicates that we take the cluster distance to be the maximal distance between any two points in the cluster.

Here we use the complete linkage or the furthest neighbour approach where the distance between two clusters is computed as the maximum of individual -to -individual distances, that is L (C i, C j ) = max x ∈ C i, y ∈ C j d (x, y ), where d is the distance function, and C i and C j are two sets of clusters.

In order to reduce type II errors, a hierarchical clustering analysis using the complete-linkage method was performed on the entire raw fold-changes dataset.