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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2071–2080 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Spaceland Embedding of Sparse Stochastic Graphs	Jun 13, 2019	Data VisualizationDimensionality Reduction	—Unverified	0	0
SpaceMAP: Visualizing Any Data in 2-dimension by Space Expansion	Sep 29, 2021	Dimensionality Reduction	—Unverified	0	0
Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging	Jul 24, 2018	Dimensionality Reduction	—Unverified	0	0
Space-Time Local Embeddings	Dec 1, 2015	Dimensionality Reduction	—Unverified	0	0
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection	Jan 30, 2022	AttributeDimensionality Reduction	—Unverified	0	0
Sparse Deep Nonnegative Matrix Factorization	Jul 28, 2017	BenchmarkingDimensionality Reduction	—Unverified	0	0
Sparse Dimensionality Reduction Revisited	Feb 13, 2023	Dimensionality Reduction	—Unverified	0	0
Sparse Embedded k-Means Clustering	Dec 1, 2017	ClusteringDimensionality Reduction	—Unverified	0	0
Sparse Exact PGA on Riemannian Manifolds	Oct 1, 2017	Computational EfficiencyDimensionality Reduction	—Unverified	0	0
Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow	Apr 29, 2016	Dimensionality Reduction	—Unverified	0	0

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified