Sentence examples for linkage algorithms and from inspiring English sources

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Clustering trees were constructed using average linkage algorithms and Pearson's correlation.

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Here, we use a simple elimination method to remove extra solutions from the archive instead of single linkage algorithm and avoid its complexity.

In order to identify homogeneous compositional groups, hierarchical cluster analysis was conducted with Minitab15 software, using a Ward linkage algorithm and squared Euclidean distance after standardization, taking into account the major elements and excluding the possible intentional colouring and decolouring agents (Sb, Mn).

Hierarchical clustering of regulated transcripts according to their transcriptional regulation profile was performed using the hclust function (stats package, version 3.1.1) with the complete linkage algorithm and Lance-Williams dissimilarity update formula in the R statistical computing environment (version 0.97.551, http://www.r-project.org) [28].

As expected, mothur did a better job than ESPRIT when using the average linkage algorithm and the single linkage preclustering significantly improved the performance of the hierarchical clustering.

We obtained similar results using the maximin agglomerative algorithm, with d = 2, 3, and 4, and with the exact linkage algorithm (and burn in = 10000).

We included the unlinked deaths using a pragmatic linkage algorithm and used Poisson regression models to account for changes in Swiss Federal Statistical Office SFSOO) coding of causes of death.

Its main features are a rule-based record linkage algorithm and the creation of non-speaking pseudonyms via the algorithm by Faldum and Pommerening (see section ' Optimal patient identifiers').

Data were centred to median expression of each gene across the normalised expression dataset, clustered using correlation (uncentered) similarity matrix and the average linkage algorithm, and visualised using TreeView (Eisen lab, University of California at Berkeley, CA, USA).

For the selected TDFs, hierarchical clustering was performed with the Cluster and Treeview programs using a complete linkage algorithm and the Pearson's correlation as a distance measure [ 61, 62].

For unsupervised clustering, we performed hierarchical clustering, ranking variable genes by interquartile range (IQR) and using the average linkage algorithm and 1 minus Pearson correlation as the distance measure.

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