Fig. 3.
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Kernel density estimation (KDE) for each class of the dataset. Top row: KDE of the nETG dataset. Bottom row: KDE of the LTG and dETG dataset. The number of each class of datasets is indicated in Table 2. All the data points are within the x-axis limit. In the case of Fornax, an incompleteness of the smoothed estimate is evident due to the limited number of data points.
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