Largest Angle Path Distance for Multi-Manifold Clustering-Reference-Cited by-同舟云学术

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Largest Angle Path Distance for Multi-Manifold Clustering

Published:2023-07-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sampling Theory and Applications (SampTA)
language:
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Author:

Chen Haoyu¹,Little Anna²,Narayan Akil³

Affiliation:

1. University of Utah,Department of Mathematics,Salt Lake City,Utah,84112

2. University of Utah,Utah Center for Data Science,Department of Mathematics,Salt Lake City,Utah,84112

3. University of Utah,Scientific Computing & Imaging Inst.,Department of Mathematics,Salt Lake City,Utah,84112

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10301194/10301195/10301401.pdf?arnumber=10301401

Reference26 articles.

1. Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature

2. Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms;little;Journal of Machine Learning Research,2020

3. Manifold clustering

4. Robust Recovery of Subspace Structures by Low-Rank Representation

5. Clustering appearances of objects under varying illumination conditions

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