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Based on simulation experiments, we identified that the distance estimates between two unknown nodes not yet localized can be used to improve the sequence ordering used by the localization algorithm.
For each image, a vector x of 216 components has been obtained by applying a 8×8 discrete cosine transform (DCT) to the image and taking 4 DCT coefficients for each 8×8 block, corresponding to the coefficients between the 7th and 10th positions according to the zig-zag ordering used by JPEG standard.
The SOM ordering used to influence the hierarchical clustering ordering helped with this problem, but there are other ways to improve classification accuracy.
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There is evidence of increased test ordering using these providers [ 43].
All were tasted and ordered using another name.
Values were ordered using hierarchical clustering.
The candidate criteria are ordered using LDALR.
Contigs were ordered using CONSED [ 40].
These contigs were then ordered using GPA2.
Taxons and tissues were ordered using the hierarchical clustering.
The contigs were then ordered using our algorithms.
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