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Journal Article
Proceedings of the National Academy of Sciences - PNAS, ISSN 1091-6490, 11/2013, Volume 110, Issue 52, pp. 20935 - 20940
Journal Article
Statistics and computing, ISSN 1573-1375, 08/2007, Volume 17, Issue 4, pp. 395 - 416
Journal Article
IEEE transactions on geoscience and remote sensing, ISSN 1558-0644, 2018, Volume 56, Issue 10, pp. 1 - 13
Journal Article
Pattern recognition, ISSN 0031-3203, 2008, Volume 41, Issue 1, pp. 191 - 203
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks... 
Path-based clustering | Robust statistics | Image segmentation | Spectral clustering | Semi-supervised learning | Unsupervised learning | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
Pattern recognition, ISSN 0031-3203, 06/2017, Volume 66, pp. 364 - 374
.... Due to the lack of training labels, most existing UFS methods generate the pseudo labels by spectral clustering, matrix factorization or dictionary learning, and convert UFS to a supervised problem... 
Subspace clustering | Group sparsity | Unsupervised feature selection | Spectral clustering | Computer science | Machine learning | Analysis
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 06/2016, Volume 54, Issue 6, pp. 3672 - 3684
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 12/2017, Volume 268, pp. 27 - 33
Spectral clustering suffers from a scalability problem in both memory usage and computational time when the number of data instances N is large... 
Kernel methods | Spectral clustering | Big data | Nyström approximation | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Algorithms
Journal Article
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 06/2020, Volume 42, Issue 6, pp. 1537 - 1544
Finding the informative subspaces of high-dimensional datasets is at the core of numerous applications in computer vision, where spectral-based subspace clustering is arguably the most widely studied... 
good neighbors | post-processing | graph connectivity | Correlation | Clustering methods | Spectral-based subspace clustering | Clustering algorithms | Matching pursuit algorithms | Minimization | sparsity | Sparse matrices | Optimization | Index Medicus
Journal Article
Journal Article