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Using BLAST to cross to the human and horse genomes we find unique, highly significant (E-score<10−100) associations with the same nearest features of ASB3 (a compound locus described as ankyrin repeat and suppressor of cytokine signaling (SOCS) box protein 3).
We also examined land use, elevation relative to sea level and the distance to the nearest features within the street network.
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Shortest feature line segment (SFLS) is a recently proposed classification approach based on nearest feature line (NFL).
The K 1 nearest feature lines are chosen from all possible lines to calculate the class scatter.
The NFLE transformation is a linear transformation method based on a nearest feature space (NFS) strategy [13] originating from an nearest linear combination (NLC) methodology [14].
A manifold learning algorithm, called nearest feature line embedding (NFLE) [18], reduces the dimensionality of color features for reducing the illumination impacts.
In Section 2, the concept of nearest feature line embedding (NFLE) algorithm presented in our previous work [13] will be briefly reviewed.
where F K 1 x i, C p represents the K1 nearest feature lines within the same class C p of point x i.
At the same time, the time complexity for selecting the K 1 nearest feature lines is O k 2) + O 2k 2 log k) when nearest prototypes are chosen for line generation.
This transformation takes the set of feature points as input and assigns each location the distance to its nearest feature; that is, the DT value at location contains the value.
Since the points on the nearest feature line (NFL) are linearly interpolated or extrapolated from each pair of feature points, the performance is better than those of point-based methods.
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