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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 3111–3120 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Diffusion Maps meet Nyström	Feb 23, 2018	Dimensionality ReductionTime Series	—Unverified	0	0
Diffusion Maps : Using the Semigroup Property for Parameter Tuning	Mar 6, 2022	Dimensionality Reduction	—Unverified	0	0
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks	Mar 7, 2020	DenoisingDimensionality Reduction	—Unverified	0	0
Digital Fingerprinting of Microstructures	Mar 25, 2022	Dimensionality ReductionTransfer Learning	—Unverified	0	0
DimenFix: A novel meta-dimensionality reduction method for feature preservation	Nov 30, 2022	Dimensionality Reduction	—Unverified	0	0
Dimensionality-reduced subspace clustering	Jul 25, 2015	ClusteringDimensionality Reduction	—Unverified	0	0
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder	Oct 28, 2020	Anomaly DetectionDimensionality Reduction	—Unverified	0	0
Dimensionality Reduction and Classification feature using Mutual Information applied to Hyperspectral Images : A Filter strategy based algorithm	Sep 28, 2012	Dimensionality Reduction	—Unverified	0	0
Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network	Dec 5, 2023	Dimensionality Reduction	—Unverified	0	0
Dimensionality reduction, and function approximation of poly(lactic-co-glycolic acid) micro- and nanoparticle dissolution rate	May 16, 2017	Dimensionality ReductionPrediction	—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