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Leonid Peshkin

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Harvard

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05 Dec 2013 SLM - Shape Language Modeling Least squares spline modeling using shape primitives Author: John D'Errico

Thank you very much for putting together and sharing Shape Language Modeling !

I hope you could answer one question for me. When you fit a spline into a given data (or part of it) using MLS penalty
the data is divided by X coordinate and penalty is calculated in Y coordinate.
But for many datasets, X and Y are symmetric and what I'd see as a natural penalty in these cases would be
the Minimal Least Squares of a distance from each point to the curve/spline, calculated as length of orthogonal projection of a point onto that curve. Is there a way to use slmengine to find optimal fit this way ?

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