Dimensionality Reduction Publications

Publications in Dimensionality Reduction

Explore the most influential research papers and scholarly works that have shaped Dimensionality Reduction. Use the concept filter below to focus on a specific sub-area of research.

Dimensionality Reduction

10.1K

Publications

832.2K

Citations

Showing yearly statistics from 2000-2026.

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	Year	Citations
Nonlinear Dimensionality Reduction by Locally Linear Embedding Sam T. Roweis, Lawrence K. Saul Science Geometric LearningImage AnalysisMachine LearningData ScienceData Mining	2000	14.9K
Tensor Decompositions and Applications Tamara G. Kolda, Brett W. Bader SIAM Review Tensor ToolboxRepresentation TheoryData ScienceMachine LearningPattern Recognition	2009	10.2K
Least angle regression Bradley Efron, Trevor Hastie, Iain M. Johnstone, The Annals of Statistics EngineeringMachine LearningFeature SelectionRegression AnalysisLars Modification	2004	9.4K
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation Mikhail Belkin, Partha Niyogi Neural Computation Spectral TheoryImage AnalysisMachine LearningData ScienceData Mining	2003	7.6K
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes, John J. Healy Deep Blue (University of Michigan) Geometric ModelingEngineeringMachine LearningData ScienceData Mining	2018	7.4K
Dimensionality reduction for visualizing single-cell data using UMAP Étienne Becht, Leland McInnes, John Healy, Nature Biotechnology Interactive VisualizationEngineeringData ScienceData VisualizationManagement	2018	5.5K
Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference Stephen M. Smith, Thomas E. Nichols NeuroImage Cluster ComputingDocument ClusteringEngineeringMachine LearningData Science	2008	5.4K
Dimensionality Reduction by Learning an Invariant Mapping Raia Hadsell, Sumit Chopra, Yann LeCun Geometric LearningEngineeringMachine LearningManifold ModelingInvariant Mapping	2006	5.1K
Some distance properties of latent root and vector methods used in multivariate analysis J. C. Gower Biometrika Latent RootEuclidean SpaceLatent ModelingEngineeringParallel Analysis	1966	4K
A new approach to variable metric algorithms R. Fletcher The Computer Journal Mathematical ProgrammingNumerical AnalysisQuadratic TerminationLarge-scale Global OptimizationEngineering	1970	4K
Factorization meets the neighborhood Yehuda Koren EngineeringMachine LearningText MiningInformation RetrievalData Science	2008	3.9K
IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Transactions on Pattern Analysis and Machine Intelligence Numerical AnalysisEngineeringMachine LearningPattern DiscoveryKernel Regression	2004	3.7K

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