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This mathematical model is augmented based on distance function by considering the second-order terms in the computation of the distance from point to surface.
K-means clustering algorithm takes input parameter k (number of clusters) and partition data into k clusters with high inter-cluster similarity based on distance function.
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A more precise definition can be given based on curvature or based on distance functions [44].
It is based on distance functions which allow to describe multi-input, multi-output production technology without the need to specify a behavioural objective (cost minimisation or profit maximisation).
In this paper, based on distance functions between two MBRs in the multidimensional Euclidean space, we propose a pruning heuristic and two updating strategies for minimizing the pruning distance, and use them in the design of three non-incremental branch-and-bound algorithms for K-CPQ between spatial objects stored in two R-trees.
Two functions were used to model LD between two SNPs: one was based on distance [ 24] and one was based on difference in MAF [ 25].
Unlike ordinary local damping models, the damping force in a non-local model is obtained as a weighted average of the velocity field over the spatial domain, determined by a kernel function based on distance measures.
Moreover the clustering criteria function is based on distance, which is unreasonable to deal with PPI networks.
Services such as Uber, which launched in 2012, have drawn protests from representatives of black-cab drivers who say the app's ability to calculate fares based on distance or time travelled means it effectively functions as a taximeter, which are only allowed in traditional taxis – also known as hackney carriages.
These functions were based on Euclidean distance function.
Charge a reasonable fare based on distance.
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