Although we have used Euclidean distances to calculate the distances in the data space, it is also possible to use measures such as a correlation coefficient or the L1 measure.
d(Y m, Y n) are the pairwise distances in the data space and d(X m, X n) the pairwise distances in the latent space; Next, this cost function is used to place a 'data prior' p(X) on X : (5) with γ being a tuning parameter controlling the influence of the local structure.
Thus, details on distance compensation in the data were mainly established to avoid including estimates of source levels from short distances where output intensity is reduced.
Further interesting comparisons would be with Bayesian classifiers (e.g., [81]), rule-based AI classifiers (e.g., [82]), or some of those (variants of Bayesian, neural net, minimum distance classifiers) in the data mining environment of ADaM [83].
When we consider the relation between the mean edge weight and the edge distance in the original data set (Figure 3B), we notice that it is bimodal.
A Mantel test across all five clades showed evidence of isolation by distance in the genetic data (Mantel, Rxy = 0.470, P = 0.010).
Choosing a forwarding neighbour, the priority should be given to the nodes that are closer to the sink than the least distance value remembered in the data packet (see Section 3.1).
Clustering of the data was performed using the following parameters: the distance between objects in the data matrix was one minus the sample correlation between points (treated as sequences of values), linkage was set to complete (furthest distance), and the cutoff within the dendogram for the hierarchical cluster tree was set to 0.50.
The genetic distance between SNPs in the data set and the telomere cannot be fully measured because of the inability to assess recombination events occurring between the most distal HapMap SNPs and the telomeres; however, all chromosome arms (excluding the p arms of acrocentric chromosomes) contained at least five SNPs within 1 cM of the most distal HapMap SNP except 1p (minimum distance 2.02 cM).
Protein structures solved by NMR are usually determined by satisfying the spatial distance restraints [32] which can be derived from the proton-proton distances in the Nuclear Overhauser Effect NOEE) data.
