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At j=181, the maximum variance is seen, which is used as a characteristic feature selected for use in training data generation.

Principal component 1 and 2 is plotted in the x and y axis which has the maximum variance is shown in Figure 6.

ENSO is realistically simulated in terms of spatial variability pattern although the maximum variance is smaller than observed [24, 25]. Figure 5b shows the time series of Nino3 area averaged SST anomaly.

PCA seeks a linear combination of variables so that the maximum variance is extracted from the variables.

The reconstructed image with the maximum variance is the least blurred and is closest to the ideal reconstruction.

According to Bamber the estimated asymptotic maximum variance is σ ^ max 2 = AUC ^ · (1 - AUC ^ ) 0.75 · n - 1 (for balanced sample sizes, derived from [ 8, 22]).

The three channels with maximum variance are selected for signal classification [12].

The concept of variance is very important as "directions with maximum variance" are almost directly related to the structural part of the relevant signal [52 54].

However, a careful inspection showed that, although GBLUP often indicated a region with large GEBV variance near the QTL, the maximum variance was larger and more concentrated near the reported QTL for BayesR than for GBLUP.

First, block statistics were calculated across the entire phase image using a 32 × 32 pixel window, and the block with the maximum variance was identified as the region most likely to contain the vessel.

In this process, three principal components with eigenvalue over one were extracted, but only the first of the components produced with maximum variance was used to represent the household wealth.