The phrase "a classification strategy" is correct and usable in written English.
You can use it when discussing methods or approaches for categorizing or organizing information, data, or items.
Example: "In our research, we developed a classification strategy to better analyze the various species of plants in the ecosystem."
Alternatives: "a categorization approach" or "a sorting method."
A classification strategy for agents based on inherent genotoxicity, dose-responses observed in the data, and an exposure analysis is proposed.
This approach, which we use to categorise elements in different groups, is called a classification strategy.
With similar objective, we have devised a classification strategy based on alignment-free measures and AUC computation.
Wrapper methods select the features taking into account the result given by a classification strategy.
A classification strategy for LMUs based primarily on topography appears to have promise in differentiating the various communities and conditions created in canyons, or other topographic sinks, that trap water and cold air, versus the drier and more fire-prone settings of mid-slopes or ridges.
In particular, candidates are verified using a supervised classification strategy over a new descriptor based on HOG features.
To confirm the endothelial origin of HGMEC SAGE library we applied a novel classification strategy as a learning process to distinguish endothelial libraries from others.
We adopted a supervised classification strategy, for which a priori knowledge about an area is used to select pixels within the image as training samples to be used by the computer program to identify pixels with spectrally similar characteristics.
A statistical classification strategy (SCS) [42] (an earlier version of which was previously used for metabolomic studies in pathogenic yeasts [16]) was utilised to improve predictability of class assignment based on NMR spectra, and also to identify metabolite differences occurring during pathogenesis in the meningitis models.
Furthermore, a linear SVM with the processed features can also be explained as a nonlinear classification strategy using the raw LBP/LTP histogram, which is equivalent to using Hellinger Kernel in the raw feature space.
Herein, we suggest a subgroup classification strategy based on the cell origin rather than morphology features, e.g., EpCAM+ H-ChC.
