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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 1251–1260 of 3304 papers

Title	Date	Tasks	Status	Hype
Fair Kernel Learning	Oct 16, 2017	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Fair Principal Component Analysis and Filter Design	Feb 16, 2020	Dimensionality ReductionFairness	—Unverified	0
Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization	Jan 10, 2023	Dimensionality ReductionRecommendation Systems	—Unverified	0
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals	Jan 8, 2019	Dimensionality ReductionVideo Compression	—Unverified	0
ABID: Angle Based Intrinsic Dimensionality	Jun 23, 2020	Dimensionality Reduction	—Unverified	0
Broadband Beamforming via Linear Embedding	Jun 14, 2022	Dimensionality Reduction	—Unverified	0
Fast and Large-scale Unsupervised Relation Extraction	Oct 1, 2015	ClusteringDimensionality Reduction	—Unverified	0
Communication-efficient k-Means for Edge-based Machine Learning	Feb 8, 2021	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Fast clustering for scalable statistical analysis on structured images	Nov 16, 2015	ClusteringComputational Efficiency	—Unverified	0
Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study	Aug 8, 2018	ClassificationDimensionality Reduction	—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