Quasi-interpolation and outliers removal
Copyright policy )Quasi-interpolation and outliers removal
The authors develop a method for removing outliers using quasi-interpolation. The authors use quasi-interpolation and the approximation error of a function to create a boundary beyond which a data point is adjudicated as an outlier and removed from the dataset. This is done when the difference between the value of the function and its quasi-interpolation function are larger than the estimated approximation error in the quasi-interpolation function.
- Tel Aviv University Israel
moving least squares, multivariate approximation, outliers, Numerical smoothing, curve fitting, Multidimensional problems, Interpolation in approximation theory
moving least squares, multivariate approximation, outliers, Numerical smoothing, curve fitting, Multidimensional problems, Interpolation in approximation theory
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!