Estimation via length-constrained generalized empirical principal curves under small noise
Abstract
In this paper, we propose a method to build a sequence of generalized empirical principal curves, with selected length, so that, in Hausdor distance, the images of the estimating principal curves converge in probability to the image of g.
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