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- W4300273829 abstract "Principal curves are defined as parametric curves passing through the middle of a probability distribution in R^d. In addition to the original definition based on self-consistency, several points of view have been considered among which a least square type constrained minimization problem.In this paper, we are interested in theoretical properties satisfied by a constrained principal curve associated to a probability distribution with second-order moment. We study open and closed principal curves f:[0,1]-->R^d with length at most L and show in particular that they have finite curvature whenever the probability distribution is not supported on the range of a curve with length L.We derive from the order 1 condition, expressing that a curve is a critical point for the criterion, an equation involving the curve, its curvature, as well as a random variable playing the role of the curve parameter. This equation allows to show that a constrained principal curve in dimension 2 has no multiple point." @default.
- W4300273829 created "2022-10-03" @default.
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- W4300273829 date "2017-07-04" @default.
- W4300273829 modified "2023-09-27" @default.
- W4300273829 title "On principal curves with a length constraint" @default.
- W4300273829 hasPublicationYear "2017" @default.
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