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Data were afterwards smoothed on the surface tessellation using an iterative nearest-neighbor procedure, avoiding averaging of data across sulci or outside the gray matter.
The data were smoothed on the surface using an iterative nearest-neighbor averaging procedure.
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Outlines of the transfer were filled in using a customized Nearest-Neighbor algorithm.
Cases were weighted to the frame using an iterative process known as raking.
It resizes the image I using a nearest-neighbor interpolation.
We have combined these features using a K-Nearest-Neighbor classifier [40].
k-nearest neighbor was used where missing values were imputed using a k-nearest neighbor average in gene space.
The embedding dimension, d, was calculated using a false nearest neighbors (FNN) approach [ 19].
In all simulations, we have used a nearest-neighbor probe as shown in Fig. 3.
The performance of the proposed PSO feature selection method is evaluated using a nearest neighbor classifier.
Classification was performed using a nearest neighbor (NN) [27] method.
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