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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 1881–1890 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Random Projections for k-means Clustering	Dec 1, 2010	ClusteringDimensionality Reduction	—Unverified	0	0
Random Projections for Linear Support Vector Machines	Nov 26, 2012	Dimensionality ReductionGeneral Classification	—Unverified	0	0
Random Projections for Manifold Learning	Dec 1, 2007	Dimensionality Reduction	—Unverified	0	0
Random projections of random manifolds	Jul 14, 2016	Dimensionality Reduction	—Unverified	0	0
Random Subspace Local Projections	Jun 3, 2024	Dimensionality Reductionsubspace methods	—Unverified	0	0
Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets	Sep 15, 2015	Dimensionality Reduction	—Unverified	0	0
Rank Reduction Autoencoders	May 22, 2024	DecoderDimensionality Reduction	—Unverified	0	0
RdimKD: Generic Distillation Paradigm by Dimensionality Reduction	Dec 14, 2023	Dimensionality ReductionKnowledge Distillation	—Unverified	0	0
Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation	May 22, 2020	Dimensionality Reduction	—Unverified	0	0
Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras	Oct 9, 2018	Anomaly DetectionCultural Vocal Bursts Intensity Prediction	—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