Exact(10)
Let (G_{m} = left (prod _{i=1}^{m}sigma _{s_{i}}^{2} right)^{1/m}) be the geometric mean of the m largest variances.
After performing dimension reduction operations on the datasets, kernel-based possibilistic c-means algorithm can generate more suitable weights for the training, as PCA transforms the data into a new coordinate system with largest variances affected greatly by the outliers.
For each dataset (I – IV), we filtered the gene set by keeping the genes with the largest variances.
We select 2,000 genes with the largest variances for downstream analysis.
Those samples were transferred into 2-dimensional space by focusing on the principal components with the largest variances.
The PCA projections of the protein folding pathway onto the plane characterized by the two principal components with largest variances are shown in Figure 7.
Similar(50)
The delay kernel induces the largest variance in parameter estimates.
The largest variance reduction was obtained when EGF3 and EGF2 were combined.
The 64 components are orthonormal and the 32 principal components are of the largest variance.
Geometrically, the first principal component points in the direction with the largest variance.
The interaction effects had the largest variance, next to the item effects.
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