Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Scale Adaptive Clustering of Multiple Structures   We propose the segmentation of noisy datasets into Multiple Inlier Structures
with a new Robust Estimator (MISRE). The scale of each individual structure is
estimated adaptively from the input data and refined by mean shift, without
tuning any parameter in the process, or manually specifying thresholds for
different estimation problems. Once all the data points were classified into
separate structures, these structures are sorted by their densities with the
strongest inlier structures coming out first. Several 2D and 3D synthetic and
real examples are presented to illustrate the efficiency, robustness and the
limitations of the MISRE algorithm.

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The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: q-fin
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The categories of this paper are: stat
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-th
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The categories of this paper are: nlin
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The categories of this paper are: chao-dyn
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The categories of this paper are: atom-ph
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The categories of this paper are: eess
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga