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Zhu, Ye, Ting, Kai Ming, Carman, Mark J. (2018) Grouping points by shared subspaces for effective subspace clustering. Pattern Recognition, 83. 230-244 doi:10.1016/j.patcog.2018.05.027

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Reference TypeJournal (article/letter/editorial)
TitleGrouping points by shared subspaces for effective subspace clustering
JournalPattern Recognition
AuthorsZhu, YeAuthor
Ting, Kai MingAuthor
Carman, Mark J.Author
Year2018 (November)Volume83
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.05.027Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367504Long-form Identifiermindat:1:5:9367504:0
GUID0
Full ReferenceZhu, Ye, Ting, Kai Ming, Carman, Mark J. (2018) Grouping points by shared subspaces for effective subspace clustering. Pattern Recognition, 83. 230-244 doi:10.1016/j.patcog.2018.05.027
Plain TextZhu, Ye, Ting, Kai Ming, Carman, Mark J. (2018) Grouping points by shared subspaces for effective subspace clustering. Pattern Recognition, 83. 230-244 doi:10.1016/j.patcog.2018.05.027
In(2018) Pattern Recognition Vol. 83. Elsevier BV

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Zhu, Ye, Ting, Kai Ming, Carman, Mark J. (2016) Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition, 60. 983-997 doi:10.1016/j.patcog.2016.07.007
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Chuan Tan, Swee, Ming Ting, Kai, Wei Teng, Shyh (2011) A general stochastic clustering method for automatic cluster discovery. Pattern Recognition, 44 (10). 2786-2799 doi:10.1016/j.patcog.2011.04.001
Chen, Xiaojun, Yang, Min, Zhexue Huang, Joshua, Ming, Zhong (2018) TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. Pattern Recognition, 76. 404-415 doi:10.1016/j.patcog.2017.10.026
Feng, Wenyi, Wang, Zhe, Xiao, Ting, Yang, Mengping (2024) Adaptive weighted dictionary representation using anchor graph for subspace clustering. Pattern Recognition, 151. 110350 doi:10.1016/j.patcog.2024.110350
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