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In the following section, we improve the theorem above by using a distance function ψ in Definition 1.2.
After the transformation, both SAX strings of pattern and driving episode will be compared for their similarity to each other using a distance function.
Note that, while it is reasonable to measure syntactic accuracy using a distance function, semantic accuracy is measured better with a yes, no or a correct, not correct domain.
The main objective of the unsupervised learning technique is to find a natural grouping or meaningful partition using a distance function [ 5, 6].
Compare the simulated dataset, D *, to the experimental data, D 0, using a distance function, d, and tolerance ϵ; if d (D 0, D * ≤ϵ, accept θ*.
3 Compare simulated and experimental data sets, D* and D0, respectively, using a distance function, d, and tolerance ε; if d(D0, D*) ≤ ε, accept θ*, otherwise reject θ* and return to 1.
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We used a distance function based on directional statistics and an effective clustering algorithm with affinity propagation.
To this end, we propose to use a distance function between a trajectory and a set of sampled points where the spatial distance between two spatio-temporal points is smoothed according to their temporal difference.
The Co-clustering methodology [ 17] uses a distance function that combines similarity of gene expression profiles with network topology.
To apply ABC SMC, we use a distance function where ‖ ‖ F denotes the Frobenious norm, D0= D1∪ D2 with D1 the 1977 1978 outbreak and D2 the 1980 1981 outbreak datasets from Supplementary Table 2, and D* is the simulation output from model (1).
By extrapolating patch-based metrics outside of the graph using a distance-dependent function, the relationship between the graph and any set of point data can be established in order to compare the connectivity properties of the landscape network and field observations of a given species.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com