A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data. [PDF]
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Erratum to "N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering". [PDF]
ScientificWorldJournal, 2015 Ullah F, Sarwar G, Lee S.
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Efficient Techniques Based on Sparse Representation for Classifying High-dimensional Multiclass Microarray Data. [PDF]
J Med Signals SensMiri M, Sadeghi MT, Abootalebi V.
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Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]
PLoS OneBhimineni VC, Senapati R.
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Clustering single-cell multi-omics data via multi-subspace contrastive learning with structural smoothness. [PDF]
Brief BioinformDing Y +5 more
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N-screen aware multicriteria hybrid recommender system using weight based subspace clustering. [PDF]
ScientificWorldJournal, 2014 Ullah F, Ullah F, Sarwar G, Lee S.
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Automatic Modal Parameter Identification for Offshore Wind Turbines Using Modified Clustering-Based Methodology. [PDF]
Sensors (Basel)Yang Y, Liang F, Zhu Q, Zhang H.
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Interpretable nonconvex submodule clustering algorithm using ℓr-induced tensor nuclear norm and ℓ2,p column sparse norm with global convergence guarantees. [PDF]
PLoS OneYang M, Han S, Chen L, Wang J.
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Simple picture of how output from ChatGPT-like AI shifts from good to bad. [PDF]
PNAS NexusJohnson NF, Huo FY.
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Identification of Alzheimer's disease subtypes and biomarkers from human multi-omics data using subspace merging algorithm. [PDF]
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