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- W1494192010 abstract "Previous chapter Next chapter Full AccessProceedings Proceedings of the 2013 SIAM International Conference on Data Mining (SDM)Sparse Subspace Clustering via Group Sparse CodingBudhaditya Saha, Duc Son Pham, Dinh Phung, and Svetha VenkateshBudhaditya Saha, Duc Son Pham, Dinh Phung, and Svetha Venkateshpp.130 - 138Chapter DOI:https://doi.org/10.1137/1.9781611972832.15PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract We propose in this paper a novel sparse subspace clustering method that regularizes sparse subspace representation by exploiting the structural sharing between tasks and data points via group sparse coding. We derive simple, provably convergent, and computationally efficient algorithms for solving the proposed group formulations. We demonstrate the advantage of the framework on three challenging benchmark datasets ranging from medical record data to image and text clustering and show that they consistently outperforms rival methods. Previous chapter Next chapter RelatedDetails Published:2013ISBN:978-1-61197-262-7eISBN:978-1-61197-283-2 https://doi.org/10.1137/1.9781611972832Book Series Name:ProceedingsBook Code:PRDT13Book Pages:1-804" @default.
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- W1494192010 title "Sparse Subspace Clustering via Group Sparse Coding" @default.
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