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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 941–950 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds	Oct 31, 2018	Dimensionality ReductionInformation Retrieval	—Unverified	0	0
Dimensionality reduction via path integration for computing mRNA distributions	Jun 15, 2020	Dimensionality Reduction	—Unverified	0	0
Dimensionality Reduction via Regression in Hyperspectral Imagery	Jan 31, 2016	Dimensionality ReductionLand Cover Classification	—Unverified	0	0
Dimensionality reduction with missing values imputation	Jul 2, 2017	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0	0
Dimensionality reduction with subgaussian matrices: a unified theory	Feb 17, 2014	Dimensionality Reduction	—Unverified	0	0
Dimensionality Reduction with Subspace Structure Preservation	Dec 7, 2014	2kDimensionality Reduction	—Unverified	0	0
Automatic Collection Creation and Recommendation	May 3, 2021	ClusteringDimensionality Reduction	—Unverified	0	0
Dimension Estimation Using Random Connection Models	Nov 8, 2017	Dimensionality Reduction	—Unverified	0	0
Dimensionality Reduction for Wasserstein Barycenter	Oct 18, 2021	Dimensionality Reduction	—Unverified	0	0
Dimensionality Reduction for Tukey Regression	May 14, 2019	Dimensionality Reductionregression	—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