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The resulting TOM matrix was grouped by hierarchical clustering.
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Once all of the optical flow vectors present in the original matrix are grouped into clusters, the classification using the algorithm can be considered completed.
Highly similar matrices were grouped and merged using single linkage hierarchical clustering, reducing the number of PFMs from 322 to 266.
By using the functional domain clustering based on di/tri/tetra-nucleotide occurrence and additionally function-based subgrouping, TFBS matrices can be grouped according to their functional similarity, known as TFBS families [ 13].
A STECC is a space-time code defined as an symbol matrix based on the modulation of basic binary matrices, which can be grouped to form a binary matrix where each entry is a binary -tuple so that is the modulation efficiency.
In a matrix organizational model, individuals are grouped by function as well as by product, and cross-functional teams are frequently employed to accomplish particular tasks.
Distance matrices were generated and sequences were grouped to generate rarefaction curves by a 3% distance level [ 30].
The subsystems are grouped according to their measurement accuracy and the state parameters and covariance matrix of a group can be calculated using the federated filter structure and propagated to the next group step-by-step.
The similar and/or functionally related TFBSs were grouped into 'matrix families,' and graphical representations of common TFBS were generated.
Correlation coefficients within each matrix were then grouped as a function of radial distance.
The final aim in building this matrix is to group together seed voxels with similar connectivity maps.
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