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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.
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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.
To overcome the n ≪ p problem, we now restrict V x to a non-singular clustering matrix, suitable for data containing groups of similarly behaving variables.
For the purpose of the tests based upon synthetic data, we used an identity matrix for the data covariance matrix, and set the damping parameter to zero.
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