The rbf (radial basis function) kernel is a popular kernel function used in support vector machines and other machine learning algorithms, which helps transform input data into a higher-dimensional space. By doing so, it enables the classification of data that is not linearly separable in its original space. The rbf kernel is particularly useful for image classification, as it can effectively capture complex relationships between data points.
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