
arXiv: 2203.14571
We show that the empirical Christoffel function associated with a cloud of finitely many points sampled from a distribution, can provide a simple tool for supervised classification in data analysis, with good generalization properties.
330, Linear operators in reproducing-kernel Hilbert spaces (including de Branges, de Branges-Rovnyak, and other structured spaces), [STAT.TH] Statistics [stat]/Statistics Theory [stat.TH], [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], Informational aspects of data analysis and big data, Approximation by other special function classes, Computational aspects of data analysis and big data, Optimization and Control (math.OC), QA1-939, FOS: Mathematics, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis, Mathematics - Optimization and Control, Mathematics
330, Linear operators in reproducing-kernel Hilbert spaces (including de Branges, de Branges-Rovnyak, and other structured spaces), [STAT.TH] Statistics [stat]/Statistics Theory [stat.TH], [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], Informational aspects of data analysis and big data, Approximation by other special function classes, Computational aspects of data analysis and big data, Optimization and Control (math.OC), QA1-939, FOS: Mathematics, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis, Mathematics - Optimization and Control, Mathematics
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