Differentially Private Subspace Clustering
, 2015 Subspace clustering is an unsupervised learning problem that aims at grouping data points into multiple “clusters ” so that data points in a single cluster lie ap-proximately on a low-dimensional linear subspace.
Aarti Singh +5 more
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Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification. [PDF]
BMC Med Genomics, 2019 Guo Y, Li H, Cai M, Li L.
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Interband Consistency-Driven Structural Subspace Clustering for Unsupervised Hyperspectral Band Selection. [PDF]
Sensors (Basel)Wang Z, Wang W.
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Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. [PDF]
Sensors (Basel), 2019 Hoppenstedt B +6 more
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A Novel Low-Rank Embedded Latent Multi-View Subspace Clustering Approach. [PDF]
Sensors (Basel)Wang S, Chen L, Liang Z, Liu Q.
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Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data. [PDF]
Front Genet, 2019 Shi Q, Hu B, Zeng T, Zhang C.
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scPEDSSC: proximity enhanced deep sparse subspace clustering method for scRNA-seq data. [PDF]
PLoS Comput BiolWei X, Wu J, Li G, Liu J, Wu X, He C.
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An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering. [PDF]
Entropy (Basel), 2019 Xiong L, Wang C, Huang X, Zeng H.
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Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering. [PDF]
Sensors (Basel)Liu H +5 more
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