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Dimensionality Reduction

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3301–3304 of 3304 papers

Title	Date	Tasks	Status	Hype
People Tracking with the Laplacian Eigenmaps Latent Variable Model	Dec 1, 2007	Dimensionality Reduction	—Unverified	0
Random Projections for Manifold Learning	Dec 1, 2007	Dimensionality Reduction	—Unverified	0
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment	Dec 7, 2002	Data VisualizationDimensionality Reduction	CodeCode Available	0
Stochastic Neighbor Embedding	Dec 1, 2002	Dimensionality ReductionObject	—Unverified	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