Fast and Simple Scatterplot
نویسنده
چکیده
An important element of both exploratory data analysis and many dimensionality reduction techniques is a scatterplot smoother. In both areas there is a strong need for fast and simple procedures. A major hurdle is choice of the amount of smoothing. In this paper we propose a fast and simple choice of the scatterplot smoothing parameter, based on blockwise least squares parabolic tting. Our method provides both global and location adaptive smoothing methods. The \local method" meets the needs of diierent trade oos between variability of the errors and curvature of the underlying regression function, as tempered by the design.
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