2 research outputs found

    Clustering Moving Entities in Euclidean Space

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    Curve Stabbing Depth: Data Depth for Plane Curves

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    Measures of data depth have been studied extensively for point data. Motivated by recent work on analysis, clustering, and identifying representative elements in sets of trajectories, we introduce {\em curve stabbing depth} to quantify how deeply a given curve QQ is located relative to a given set C\cal C of curves in R2\mathbb{R}^2. Curve stabbing depth evaluates the average number of elements of C\cal C stabbed by rays rooted along the length of QQ. We describe an O(n3+n2mlog2m+nm2log2m)O(n^3 + n^2 m\log^2m+nm^2\log^2 m)-time algorithm for computing curve stabbing depth when QQ is an mm-vertex polyline and C\cal C is a set of nn polylines, each with O(m)O(m) vertices.Comment: Preprin
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