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Exact(1)
Within the threshold interval [0, 100], the plot above presents that 57 % is a point to distinguish between the nearest queries and not related queries.
Similar(59)
The first parameter to be set is the threshold θ that controls the matching determination principle described in Equation 8. Due to the constraint of θ between the nearest and the second nearest neighbors, not every query sub-fingerprint is ensured to get a matching result, no matter true or false.
At the same time, the experiment set up 990 mobile users of the nearest neighbor query request message.
The most representative and known DBQs are the K Nearest Neighbors Query (KNNQ), ρ Distance Range Query (ρDRQ), K Closest Pairs Query (KCPQ) and ρ Distance Join Query (ρDJQ).
Then, for each transformed point T k p i we query the nearest neighbour in Q.
Similarity x,e i ) is the similarity index between the query x and the nearest neighbour e i (using the third clause of the hypothesis contract).
A distance-based AD approach was employed to analyse the distances between a query compound to the nearest neighbour in the training data [75].
Usually, a threshold is put in place to the distance between the query feature and the nearest matching feature returned, rejecting matches that may have distances greater than the threshold [8].
Computing the directional distance between the query q1 and the query q2 refers to computing the directional distance between the couple of spatial references of each query.
Computing the metric distance between the query q1 and the query q2 refers to computing the metric distance between the couple of spatial references of each query.
The ε−approximate nearest neighbor query returns an instance p for a given query q such that ∀ p′∈ P, d p, q)≤(1+ϵ) d(p′, q).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com