It is visible that the cluster analysis grouped the whole samples into three distinct groups of cluster.
These sample sizes were chosen for the ease of distributing samples into three different strata in stratified sampling with equal number of branches per stratum.
Cluster analysis classified the water samples into three groups such as cluster I (70.97%), cluster II (22.58%) and cluster III (6.45%).
The obtained results demonstrate that PCA and SVMs could classified urine samples into three classes according to low, medium and high creatinine levels (CLs).
Based on a tin oxide chemical sensor array and neural network-based pattern recognition techniques, the olfactory system designed is able to classify fruit samples into three different states of ripeness (green, ripe and overripe) with very good accuracy.
Via a straightforward analysis based on linear correlation of LIBS spectra it was possible to successfully discriminate scale samples into three main groups, Fe-rich, Ca-rich and Ba-rich, on the basis of correlation coefficients.
Under the current rule enrollment of children who will be 6 years old before August 31 of the year based on the distance of this cutoff date to the children's actual birthday, we divide the samples into three birth groups based on their relative age: September-October, November-June, and July-August.
Application of PCoA resulted in clustering of 19 SHARON samples into three groups (days 1 116, days 130 196, days 220 290) related to the time points when running manner was changed from CFM to SBM, and to SBM with UASB effluent used as influent (Fig. 7a).
In each dataset, sample prediction was improved by separating the samples into three groups according to class similarities.
The authors curated the samples into three tiers based on signal quality and restricted analysis to the best tier.
In hierarchical clustering, the Mdr2 genotype and the tumor phenotype were major clustering forces separating the samples into three main clusters: Mdr2-KO, Mdr2+/− and tumors.
