The similarity measurement of high-dimensional data is an important research content in data mining and other fields. Aiming at the shortcomings of the traditional similarity measurement algorithms, a new measurement algorithm is proposed. The results of comparison with traditional algorithms show that new algorithm can quantitatively and intuitively reflect the similarity of two sets of high-dimensional data, and has strong adaptability and superiority.
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