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Spectral clustering based on local linear approximations

https://doi.org/10.1214/11-ejs651
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling
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Image Manifolds which are Isometric to Euclidean Space
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A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation
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A tutorial on spectral clustering
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Spectral Curvature Clustering (SCC)
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Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views
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Metric entropy of some classes of sets with differentiable boundaries
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Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data
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Lanczos Algorithms for Large Symmetric Eigenvalue Computations
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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