The phrase "aggregated distance" is correct and usable in written English.
It can be used in contexts where you are discussing a total or combined distance, often in data analysis, statistics, or geographical contexts.
Example: "The aggregated distance traveled by all participants in the study was over 500 miles."
Alternatives: "total distance" or "combined distance".
k-NN classification is based on aggregated distance function which combines several features together.
This filter uses the trimmed aggregated distance minimization concept and robust vector order statistics to enhance edges and image details while retaining the noise removal characteristics of the standard VM operator.
The aggregated distance to known classes, dist i (u j,c k ), is computed by ClassDist u j,c k ) based on the individual distances between each pair of instances (2).
At step (9) we compute dconf i (u j,c k )—the marginal d-Confidence for each known class, c k, given the instance u j —by dividing class confidence for a given instance by the aggregated distance to that class.
The effects of coarse aggregates distance on the penetration depth and damage of FGCC were investigated.
For the analysis of Payne effect, the value of ΔG′ of rubber composite filled with spherical shape has the lowest value due to weaker filler network resulted largest inter-aggregate distance occurred in the rubber matrix.
This behaviour is interpreted in terms of the "average inter-aggregate distance (AID)" related to competitive dispersion/agglomeration phenomena to which added multi wall carbon nanotubes are subjected during the preparation of compounds with concentrations over specific threshold values.
Winning margin: In 14 races, the aggregate distance between Frankel and the second-placed horses was 76.25 lengths (610 feet or 185 metres).
For solving the MSSFP, Censor et al. in [1] introduced a proximity function (p(x)) to measure the aggregate distance of a point to all sets.
Greater aggregate distance from primates also associates with lower specificity within the PRE (Table 6 total information content (essentially expressing sequence specificity in terms of bits) drops from 49.04 for primates (including humans) to 39.36 when all mammal sequences are considered (Table 6).
The best such pair across all the distance matrices are then selected and the subtrees containing these taxa are aggregated in all distance matrices; finally the distance matrices are updated.
