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Traditional clustering methods usually classify objects into classes according to a measure of similarity.
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Methods for their synthesis are usually classified into solid-state, hydrothermal, and vapor-state processes.
The spectral method is a weighted residual way for PDEs and is usually classified as the Galerkin spectral method, the collocation spectral method (CSM), and the spectral element method, which are used to solve the second-order elliptic, parabolic, hyperbolic, hydromechanics PDEs, and so on (see [4 10]).
To help in determining the type of method to use, networks are usually classified in one of three ways relative to the concept of internetworking: identical, similar, and dissimilar.
Methods to find driver mutations are usually classified into two main categories: mutation frequency-based analysis and bioinformatic predictions of functional effects of amino acid changes.
It is usually classified under the filter method.
The numerical procedures for optimal control problems are usually classified between direct and indirect methods.
They are usually classified by regenerative and non-regenerative methods depending on whether or not the source signal is regenerated at the relay node.
Methods found in the literature for digitally stabilizing videos are usually classified into two-dimensional (2D) or three-dimensional (3D) categories.
Different biomass feedstock and pretreatment methods generate hydrolysates with distinctive toxic compounds, but three major groups of toxic compounds are usually classified in general.
Although prokaryotes are usually classified using molecular phylogenies instead of phenotypes after the advent of gene sequencing, neither of these methods is satisfactory because the phenotypes cannot explain the molecular trees and the trees do not fit the phenotypes.
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