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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 751–760 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Decentralized State Estimation In A Dimension-Reduced Linear Regression	Oct 13, 2022	Dimensionality Reductionregression	CodeCode Available	0	5
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data	Apr 25, 2024	DecoderDimensionality Reduction	CodeCode Available	0	5
Accelerated Stochastic Power Iteration	Jul 10, 2017	Dimensionality Reduction	CodeCode Available	0	5
"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly	Aug 14, 2024	Dimensionality Reduction	CodeCode Available	0	5
Novel optimized crow search algorithm for feature selection	Apr 30, 2022	ClassificationComputational Efficiency	CodeCode Available	0	5
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy	Apr 20, 2021	DenoisingDimensionality Reduction	CodeCode Available	0	5
nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces	Feb 22, 2023	Dimensionality Reduction	CodeCode Available	0	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5

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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