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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 3261–3270 of 3304 papers

Title	Date	Tasks	Status	Hype
Variational Gaussian Process Dynamical Systems	Dec 1, 2011	Dimensionality ReductionTime Series	—Unverified	0
Demixed Principal Component Analysis	Dec 1, 2011	Dimensionality Reduction	—Unverified	0
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data	Dec 1, 2011	Cross-Modal RetrievalDimensionality Reduction	—Unverified	0
Sparse Manifold Clustering and Embedding	Dec 1, 2011	ClusteringDimensionality Reduction	—Unverified	0
How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix	Oct 18, 2011	Data VisualizationDimensionality Reduction	CodeCode Available	0
Randomized Dimensionality Reduction for k-means Clustering	Oct 13, 2011	ClusteringDimensionality Reduction	—Unverified	0
Kernel Methods for the Approximation of Nonlinear Systems	Aug 14, 2011	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Face Recognition using Curvelet Transform	Jul 14, 2011	Dimensionality ReductionFace Recognition	—Unverified	0
Learning Hierarchical Sparse Representations using Iterative Dictionary Learning and Dimension Reduction	Jun 2, 2011	Dictionary LearningDimensionality Reduction	—Unverified	0
Vector Diffusion Maps and the Connection Laplacian	Feb 1, 2011	Dimensionality Reduction	CodeCode Available	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