Sentence examples for between clusters was determined from inspiring English sources
Separation between clusters was determined by squared Euclidean distance, with the optimal cluster number solution determined by inspection of distance measures at each stage of the analysis.
In most cases, the cluster-joining analysis was made with Euclidian distance and complete linkages as the amalgamation rule, that is, distances between clusters were determined by the greatest distance between any two objects in the different clusters.
The distance between neighboring silver clusters was determined by the molecular weight percent of PS, whereas the diameter of the silver nanocluster was preserved.
Associations between each transcription factor and 39 gene clusters was determined by training the RNN model that mimics the specific network motif for a given transcription factor.
Correlation between HCV prevalence and PAT exposure across the identified clusters was determined using Pearson correlation coefficient (PCC).
The optimal number of clusters was determined empirically based on highest observed variability and redundancy between similar clusters.
The optimal number of clusters was determined empirically based on highest explained variance and minimum redundancy between similar clusters.
The number of clusters was determined empirically according to the fewest clusters required to achieve a minimum correlation radius of 0.7 between any individual profile and its cognate cluster members, resulting in 30 clusters.
Correlations between gene clusters were determined using Pearson's correlation.
Statistical differences in the ratings between these clusters were determined by analyzing the ratings with an ANOVA which included cluster and subclinical seizure type (typical Landau-Kleffner syndrome, atypical Landau-Kleffner syndrome, subclinical epileptiform discharges) as the independent effects as well as the interaction between these two effects.
