منابع مشابه
On some convergence properties of the subspace constrained mean shift
Subspace constrained mean shift (SCMS) is a non-parametric, iterative algorithm that has recently been proposed to find principal curves and surfaces based on a new definition involving the gradient and Hessian of a kernel probability density estimate. Although simulation results using synthetic and real data have demonstrated the usefulness of the SCMS algorithm, a rigorous study of its conver...
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In this paper we introduce a versatile and robust method for analyzing the feature space associated with a given surface. The method is based on the mean-shift operator which was shown to be successful in image and video processing. Its strength stems from the fact that it works in a single space of joint geometry and attributes called the feature-space. The feature-space attributes can be scal...
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Mean shift is a nonparametric clustering technique that does not require the number of clusters in input and can find clusters of arbitrary shapes. While appealing, the performance of the mean shift algorithm is sensitive to the selection of the bandwidth, and can fail to capture the correct clustering structure when multiple modes exist in one cluster. DBSCAN is an efficient density based clus...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2020
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2019.2913640