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In general, the percentage proportion of land cover types decreased with degradation of spatial resolution and the fractal method gave best correlations for water and agricutlure classes.
The BPCA (Baysian Principal Component Analysis) method gave best results for imputation (see additional file 1, table S1) and was thus chosen to impute missing values into the original gene expression data set.
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Results are also compared with the other existing algorithms, and it was found that the proposed method gives best result in terms of peak reconstruction error and transition band error while it is comparable in terms of passband and stopband error.
For three datasets, the clustering scoring method gave better ROC curves than the best energy scoring functions and for five datasets the efficiency was approximately the same.
The synthetic methods which gave best surface characteristics and high degree of the alloy at lower temperature and moderated time are favourable for increasing the catalytic activity.
The MTS method gave the best q value, the DSM-MTS method gave the second best q value, and the CS method gave the worst q value among these three methods.
In contrast, the CS method gave the best hit ratio, the DSM-MTS method gave the second best hit ratio, and the MTS method gave the worst hit ratio among these three methods.
According to Milligan and Cooper [13], Ward's method gave the best overall recovery.
The proposed method gave the best results with a change detection error of 3407 pixels.
Among the three methods used for the composites preparation, the electrochemical method gave the best capacitance results (150 F/g).
Metzner and Otto method gave the best shear coefficient and shear stress coefficient match when results were compared to Anton Paar rheometer (MCR 301).
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