In [30], a sonar- based method is well applied, even though it only takes static obstacles into consideration.
Although the compiled results convincingly demonstrate that soft computing-based methods are well suited for the colour quantisation problem, it should also be noted that they typically have higher demands in terms of computational complexity and might hence be suitable only for situations where the quantisation stage is not time critical.
However, although rank-based methods are well suited for normalization and distance calculation purposes they are not appropriate to display gene expression profiles.
Thus, while CGH-based methods are well adapted to document differences in copy number status between the genomes of normal cells derived from different individuals, our results clearly show that they are inadequate to deal with the large-scale rearrangements and amplifications typical of hyperploid cancer cells.
The population-based methods are well established and a generally accepted method within the fields of epidemiology [ 27, 33].
Atlas-based methods are well established for the statistical classification and quantification of shape and wall motion characteristics of the heart (Young and Frangi, 2009).
Fourier-based methods are well established but their spectra are equally spaced in frequency rather than in period and require a suitable symbolic-to-numeric mapping [ 18].
Vibration-based methods are well-established and effective tools to assess the health state of civil, mechanical and aerospace engineering structures.
Tree-based methods are well-established techniques to address interactions detection and subgroup analyses, as well as to derive internally validated cut-off for continuous predictors which could not be necessarily linear.
