Sparse Subspace Clustering: Algorithm, Theory, and Applications

E. Elhamifar; R. Vidal

doi:10.1109/tpami.2013.57

Sparse Subspace Clustering: Algorithm, Theory, and Applications

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2013.57 ◽

2013 ◽

Vol 35 (11) ◽

pp. 2765-2781 ◽

Cited By ~ 1116

Author(s):

E. Elhamifar ◽

R. Vidal

Keyword(s):

Clustering Algorithm ◽

Subspace Clustering ◽

Algorithm Theory ◽

Sparse Subspace Clustering

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A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis

IEEE Access ◽

10.1109/access.2020.2981740 ◽

2020 ◽

Vol 8 ◽

pp. 54741-54750 ◽

Cited By ~ 2

Author(s):

Xiaoge Deng ◽

Tao Sun ◽

Peibing Du ◽

Dongsheng Li

Keyword(s):

Convergence Analysis ◽

Clustering Algorithm ◽

Subspace Clustering ◽

Sparse Subspace Clustering

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A New Sparse Subspace Clustering Algorithm for Hyperspectral Remote Sensing Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2016.2625200 ◽

2017 ◽

Vol 14 (1) ◽

pp. 43-47 ◽

Cited By ~ 28

Author(s):

Han Zhai ◽

Hongyan Zhang ◽

Liangpei Zhang ◽

Pingxiang Li ◽

Antonio Plaza

Keyword(s):

Remote Sensing ◽

Clustering Algorithm ◽

Subspace Clustering ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Imagery ◽

Sparse Subspace Clustering

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An ordered sparse subspace clustering algorithm based on p-Norm

Expert Systems ◽

10.1111/exsy.12368 ◽

2019 ◽

pp. e12368

Author(s):

Liping Chen ◽

Gongde Guo ◽

Hui Wang

Keyword(s):

Clustering Algorithm ◽

Subspace Clustering ◽

Sparse Subspace Clustering

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Similarity Matrix Construction Methods in Sparse Subspace Clustering Algorithm for Hyperspectral Imagery Clustering

Intelligent Computing Theories and Application - Lecture Notes in Computer Science ◽

10.1007/978-3-319-63309-1_61 ◽

2017 ◽

pp. 695-700

Author(s):

Qing Yan ◽

Yun Ding ◽

Jing-Jing Zhang ◽

Li-Na Xun ◽

Chun-Hou Zheng

Keyword(s):

Clustering Algorithm ◽

Hyperspectral Imagery ◽

Subspace Clustering ◽

Similarity Matrix ◽

Construction Methods ◽

Sparse Subspace Clustering ◽

Matrix Construction

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A Noise-Resilient Sparse Subspace Clustering Algorithm for Image Sequences

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) ◽

10.1109/ithings-greencom-cpscom-smartdata.2017.23 ◽

2017 ◽

Author(s):

Liping Chen ◽

Gongde Guo ◽

Hui Wang

Keyword(s):

Clustering Algorithm ◽

Subspace Clustering ◽

Image Sequences ◽

Sparse Subspace Clustering

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Time series clustering based on sparse subspace clustering algorithm and its application to daily box-office data analysis

Neural Computing and Applications ◽

10.1007/s00521-018-3731-7 ◽

2018 ◽

Vol 31 (9) ◽

pp. 4809-4818 ◽

Cited By ~ 5

Author(s):

Yan Wang ◽

Yunian Ru ◽

Jianping Chai

Keyword(s):

Time Series ◽

Data Analysis ◽

Clustering Algorithm ◽

Subspace Clustering ◽

Time Series Clustering ◽

Box Office ◽

Sparse Subspace Clustering

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A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery

Cognitive Systems Research ◽

10.1016/j.cogsys.2018.01.003 ◽

2019 ◽

Vol 53 ◽

pp. 98-110 ◽

Cited By ~ 3

Author(s):

Qing Yan ◽

Yun Ding ◽

Jing-Jing Zhang ◽

Yi Xia ◽

Chun-Hou Zheng

Keyword(s):

Clustering Algorithm ◽

Hyperspectral Imagery ◽

Subspace Clustering ◽

Similarity Matrix ◽

Sparse Subspace Clustering ◽

Matrix Construction

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Enhanced Sparse Subspace Clustering by Manifold Regularization for Hyperspectral Image

Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science - AICS 2019 ◽

10.1145/3349341.3349449 ◽

2019 ◽

Author(s):

Tongxu Zhou ◽

Jipan Yang ◽

Lu Liang

Keyword(s):

Hyperspectral Image ◽

Subspace Clustering ◽

Manifold Regularization ◽

Sparse Subspace Clustering

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A meta-heuristic density-based subspace clustering algorithm for high-dimensional data

Soft Computing ◽

10.1007/s00500-021-05973-1 ◽

2021 ◽

Author(s):

Parul Agarwal ◽

Shikha Mehta ◽

Ajith Abraham

Keyword(s):

Clustering Algorithm ◽

High Dimensional Data ◽

Subspace Clustering ◽

High Dimensional

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Unsupervised Classification of PolSAR Imagery via Kernel Sparse Subspace Clustering

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2016.2593098 ◽

2016 ◽

Vol 13 (10) ◽

pp. 1487-1491 ◽

Cited By ~ 9

Author(s):

Hui Song ◽

Wen Yang ◽

Neng Zhong ◽

Xin Xu

Keyword(s):

Subspace Clustering ◽

Unsupervised Classification ◽

Sparse Subspace Clustering

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