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Unlike probabilistic CCA which converts the image samples into the vectors, our method uses the original image matrices for data representation.
To build a scalable and fault-tolerant manager for big data analysis, Huai et al. [88] presented a matrix model which consists of three matrices for data set (D), concurrent data processing operations (O), and data transformations (T), called DOT.
The Framework approach enables development of matrices for data coded to each key theme.
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The typical size of the data matrices for relaxation data spectra was 2048 × 64 to 2048 × 80 complex data points.
A Laplacian matrix for data ranking is employed, using a local linear regression model to predict the ranking scores of its neighboring points.
TMeV software was used with this matrix for data clustering and template matching analysis [ 64].
Table 5 shows the component matrix for data regarding the last delivery, for the Waray CSQ-8.
Table 3 shows the component matrix for data regarding the last delivery, for the Cebuano CSQ-8.
Figures 1 and 2 depict the heatmap of the genomic (G) matrix for data on 306 and 599 wheat lines, respectively.
Such information can be combined with genomics and other molecular profiles on a common informatics platform to provide a rich matrix for data mining and hypothesis testing.
The timing of the actions was rehearsed to last approximately 5 s, but an experimenter within the scanner room documented the beginning and end of each action using a button box to determine the actual duration of the action, that was then used to define the design matrix for data analysis.
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