Results 131 to 140 of about 9,565 (204)
Generalized gene co-expression analysis via subspace clustering using low-rank representation. [PDF]
BMC Bioinformatics, 2019 Wang T, Zhang J, Huang K.
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Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network. [PDF]
GigascienceZhou L +6 more
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Regularized Multi-View Subspace Clustering for Common Modules Across Cancer Stages. [PDF]
Molecules, 2018 Zhang E, Ma X.
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Subspace clustering for complex data
, 2013 Clustering is an established data mining technique for grouping objects based on their mutual similarity. Since in today's applications, however, usually many characteristics for each object are recorded, one cannot expect to find similar objects by ...
Günnemann, Stephan
core
Application of Subspace Clustering in DNA Sequence Analysis. [PDF]
J Comput Biol, 2015 Wallace T, Sekmen A, Wang X.
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Robust auto-weighted multi-view subspace clustering with common subspace representation matrix. [PDF]
PLoS One, 2017 Zhuge W +5 more
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LogDet Rank Minimization with Application to Subspace Clustering. [PDF]
Comput Intell Neurosci, 2015 Kang Z, Peng C, Cheng J, Cheng Q.
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Alternative clustering in subspace projections.
, 2015 The technological advancements of recent years led to a pervasion of all life areas with information systems and allows to conveniently and affordably gather large amounts of data. The key to our information society is the transformation of the mere data in these comprehensive databases into information and knowledge.
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