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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 3161–3170 of 3304 papers

Title	Date	Tasks	Status	Hype
On the Estimation of Entropy in the FastICA Algorithm	May 25, 2018	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
Supervised multiway factorization	Sep 11, 2016	Dimensionality Reduction	CodeCode Available	0
SMSSVD - SubMatrix Selection Singular Value Decomposition	Oct 23, 2017	Dimensionality Reduction	CodeCode Available	0
Local Explanation of Dimensionality Reduction	Apr 29, 2022	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	0
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data	Nov 7, 2024	Dimensionality ReductionObject	CodeCode Available	0
Generalized Image Reconstruction over T-Algebra	Jan 17, 2021	Data CompressionDimensionality Reduction	CodeCode Available	0
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps	Dec 15, 2023	Dimensionality Reduction	CodeCode Available	0
Generalized Penalty for Circular Coordinate Representation	Jun 3, 2020	Data VisualizationDimensionality Reduction	CodeCode Available	0
On the Noise Sensitivity of the Randomized SVD	May 27, 2023	DenoisingDimensionality Reduction	CodeCode Available	0
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations	Apr 15, 2025	ClusteringData Integration	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