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 # Collection of Methods Constructed using the Kernel-Based Quadratic Distances
 
 \code{QuadratiK} provides the first implementation, in R and Python, of a comprehensive set of goodness-of-fit tests and a clustering technique for spherical data using kernel-based quadratic distances. This framework aims to bridge the gap between the statistical and machine learning literature. It includes: