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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 2731–2740 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Applying Graph-based Keyword Extraction to Document Retrieval	Oct 1, 2013	Dimensionality ReductionInformation Retrieval	—Unverified	0	0
Applying Ricci Flow to High Dimensional Manifold Learning	Mar 3, 2017	Dimensionality ReductionVocal Bursts Intensity Prediction	—Unverified	0	0
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease	Feb 3, 2014	Dimensionality Reductionfeature selection	—Unverified	0	0
Approaching Metaheuristic Deep Learning Combos for Automated Data Mining	Oct 16, 2024	Deep LearningDimensionality Reduction	—Unverified	0	0
Approximated and User Steerable tSNE for Progressive Visual Analytics	Dec 5, 2015	Dimensionality Reduction	—Unverified	0	0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning	Oct 1, 2017	DenoisingDimensionality Reduction	—Unverified	0	0
Approximate Matrix Multiplication with Application to Linear Embeddings	Mar 30, 2014	Dimensionality Reduction	—Unverified	0	0
Approximation Algorithms for Sparse Principal Component Analysis	Jun 23, 2020	Dimensionality Reduction	—Unverified	0	0
Approximation of Functions over Manifolds: A Moving Least-Squares Approach	Nov 2, 2017	Dimensionality Reduction	—Unverified	0	0
A predictive physics-aware hybrid reduced order model for reacting flows	Jan 24, 2023	Dimensionality ReductionTransfer Learning	—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