Sentence examples for evaluated clusters from inspiring English sources

To bracket this definition of an avian community, we also evaluated clusters with 20 and 100 groups (Figs. S3 and S4).

We evaluated clusters using 999 Monte Carlo simulations.

We evaluated clusters H03 and H33 as a single cluster because they differ in only 1 band by IS 6110 RFLP.

The clusters are evaluated; clusters with fewer than three members are dropped and clusters where the standard deviation of the internal distances is above an empirically determined threshold are split.

After assigning genes using k-means clustering (Fig 2; Table S5 of Supporting Information), we evaluated clusters C6 C11 to explore the potential biological significance of transcripts deregulated in both NF1 tumour cell cultures and solid tumours (Tables S5 and S6 of Supporting Information).

We evaluated clustering using multi-dimensional scaling and AMOVA methods [43], maximizing the between-group variation (vA) and minimizing the within-group variation (vB).

We evaluated cluster-number metric performance of three simulated datasets which had four, six and eight clusters, respectively.

In this experiment, six users evaluated clustering quality for the query 'metastasis or metastatic'.

Jaccard coefficients close to zero indicate low similarities and values close to one indicate high similarities among the evaluated cluster sets.

Because there is no correct solution to unsupervised machine learning tasks, we evaluated clustering solutions based on their interpretability in the domain of the epithelial-mesenchymal transition.

With these ground truth datasets in hand, we evaluated clustering accuracy using the Jaccard coefficient as described by Tan et al. (2005).