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Sensitivity analysis shows a rather stable classification around the arbitrarily fixed 10% value.
In order to obtain better and more stable classification performances, we propose a new and novel approach, so-called multiple-ROI based focal liver lesion classification.
Figure 10b further indicates that when the samples are normalized to [−1, 1], the dependence on T is reduced and a relatively stable classification accuracy can be achieved.
Experimental results show that the proposed multiple-ROI-based approach can achieve the enhanced and stable classification performance regardless of features being used.
Based on sorting out the data structure of static load, clustering algorithm of K-medorids is employed for data mining to find the significant and relatively stable classification characteristics between static load of railway administrations.
When the value of the width parameter is in a suitable range, the number of generated RBF hidden neurons will change, but a relatively stable classification accuracy can be achieved.
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Without applying prior knowledge about classes the clustering process aims at discovering the inner structure of the data, resulting in objective and stable classifications.
The least stable classifications in Figure 2C are those cells in which the height of the bars is similar or number of individuals is low.
The modified Noyes and Stabler classification, as described by Recht et al., was used to grade macroscopically the talocrural joint cartilage surfaces (Noyes and Stabler 1989, Recht et al. 1996).
Alternaria, this manuscript provides a clear and stable species classification in this section.
A few iterations were performed until a stable 2D classification was obtained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com