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A linear classifier based on minimum Euclidean distance is trained for the classification, using the estimated physical parameters from all of the frames.
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First, calculate the Euclidean distance between fused features and select the best 500 features based on minimum distance.
In test stage, each of the test feature vectors are assigned to one of the cluster centers based on the minimum Euclidean distance (ED) measure.
Given a set of nodes, their model calculate the nonredundant data produced by node based on the minimum Euclidean distance between node and any node for.
The measure based on Euclidean minimum spanning trees turns out to be the most promising one in terms of the tradeoff between the ectropic behavior and the computational complexity.
The modified algorithm runs in two phases: in the first stage, it removes relatively large-scale erroneous measurements based on Euclidean minimum spanning tree edges.
Subsequently, a hierarchical cluster analysis was performed using Ward's minimum variance technique to subgroup women based on the Euclidean distances among the PC values.
In this paper, the distance measure D based on normal Euclidean distance is selected.
Table 5 records the results of the goodness of fit test based on squared Euclidean distance.
The inverse distance matrix is based on the Euclidean distance between centroids of each municipality.
This algorithm is based on the Euclidean distance between neighbor points.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com