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Fig. 7 Non-dimensional normalized CMB heat flux pattern inferred from probabilistic tomography.
Fig. 11 CMB heat flux pattern in the dual superplume configuration.
Each principal component is then interpreted, and the function best representing a sediment flux pattern is chosen from these components.
A typical DOC flux pattern in the same tidal channel shows that the largest DOC flux happens during mid-tide.
Here we term any CMB heat flux pattern that is neither tomographic nor single harmonic as alternative.
The resulting CMB heat flux pattern inferred from probabilistic tomography (Fig. 7) exhibits positive structures mostly concentrated at low latitude.
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Conversion of reduced flux matrices with permutated samples (columns) into flux-pattern matrices, adjoining flux-pattern matrices and hierarchical clustering were conducted in Matlab (Mathworks).
The reduced flux matrix was next converted to flux-pattern matrices, and hierarchical clustering was performed.
Here, the flux-pattern matrix may be different, depending on the order of columns (samples) in the reduced flux matrix.
Adjoined 300 flux-pattern matrices showed agreeable consistency every time they were produced from metabolic flux data.
Therefore, columns of the reduced flux matrix were randomly permutated, and the flux-pattern matrix was obtained accordingly.
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