KBER: A kernel bandwidth estimate using the Ricci curvature
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Original research
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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.

Journal
Title
Communications in Statistics - Theory and Methods
Publisher
Taylor & Francis
Publisher Country
United States of America
Indexing
Scopus
Impact Factor
None
Publication Type
Both (Printed and Online)
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