KBER: A kernel bandwidth estimate using the Ricci curvature

Abdelrahman Eid and Nicolas Wicker

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 2, 398-408

Abstract: The choice of a bandwidth can affect dramatically the accuracy of classification methods relying on it. Recently, a large number of methods to choose the bandwidth have been developed. This article presents a simple method called KBER to estimate the bandwidth using the average Ricci curvature of ɛ− graphs. The Radial Basis Function kernel (RBF) has been chosen in our work for its simplicity and its popularity in this kind of research; it is also possible to apply our method to any kernel with the same kind of parameter.

Date: 2023
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DOI: 10.1080/03610926.2021.1914099

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