Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data
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This paper studies the linear convergence of the subspace constrained mean shift (SCMS) algorithm, a well-known algorithm for identifying a density ridge defined by a kernel density estimator. By arguing that the SCMS algorithm is a special variant of a subspa... ...
