Sentence examples for using an agglomerative clustering from inspiring English sources

A distance matrix was generated from the whole genome autosomal genotyping data using an agglomerative clustering algorithm.

Hierarchical clustering and principal components analysis (PCA) were performed using an agglomerative clustering method with Euclidean dissimilarity and a correlation dispersion matrix and normalized eigenvector scaling, respectively.

Founder chromosomes were clustered on the basis of the pair-wise IBD probabilities using an agglomerative clustering method and the complete link criterion function implemented with CLUTO [ 36].

As such, we developed a multipronged algorithmic approach to first segment the X chromosome into regions of distinct oligonucleotide composition and then segregate compositionally similar regions in distinct clusters using an agglomerative clustering algorithm.

Furthermore, we applied a clustering approach using an agglomerative hierarchical clustering algorithm.

The two-dimensional cluster analysis was performed using an agglomerative hierarchical clustering algorithm based on the cosine correlation similarity metric.

The two-dimensional cluster analysis was carried out using an agglomerative hierarchical clustering algorithm based on the cosine correlation similarity metric.

As a solution to this visualisation problem, we recommend using an agglomerative hierarchical clustering algorithm, which we call the exact linkage algorithm.

Dendrograms based on the retention time of the fatty acid methyl esters and on the protein masses detected were constructed using an Agglomerative hierarchical clustering (AHC) algorithm, using Microsoft® Excel 2000/XLSTAT©-Pro 2000/XLSTAT©-Pro013, Addinsoft, Inc., Brooklyn, NY, USA).

The first step of the two-step algorithm is a BIRCH algorithm to define pre-clusters [14], in the second step these preclusters are joined to clusters using an agglomerative hierarchical algorithm [15], [16].

Accordingly, we defined nine climate clusters using an agglomerative hierarchical approach that took as input city-specific seasonal temperatures, humidity and within-season standard deviations of temperature and humidity.