In statistics, the term "kernel" often refers to a kernel function, which is a fundamental concept used in various statistical methods, particularly in non-parametric statistics and machine learning. A kernel function is a way to measure similarity or a relationship between pairs of data points in a transformed feature space, allowing for the application of linear methods in a higher-dimensional space without needing to explicitly map the data points.
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