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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 861–870 of 3304 papers

Title	Date	Tasks	Status	Hype
ShaRP: Shape-Regularized Multidimensional Projections	Jun 1, 2023	Dimensionality Reduction	CodeCode Available	0
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization	Jun 1, 2023	Bayesian OptimizationDimensionality Reduction	—Unverified	0
Dictionary Learning under Symmetries via Group Representations	May 31, 2023	Dictionary LearningDimensionality Reduction	—Unverified	0
Label Embedding via Low-Coherence Matrices	May 31, 2023	ClassificationDimensionality Reduction	—Unverified	0
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction	May 30, 2023	DenoisingDimensionality Reduction	CodeCode Available	0
Dimensionality Reduction for General KDE Mode Finding	May 30, 2023	Dimensionality Reduction	—Unverified	0
Cooperative Thresholded Lasso for Sparse Linear Bandit	May 30, 2023	Dimensionality Reductionregression	—Unverified	0
Parallel Coordinates for Discovery of Interpretable Machine Learning Models	May 28, 2023	Dimensionality ReductionInterpretable Machine Learning	—Unverified	0
On the Noise Sensitivity of the Randomized SVD	May 27, 2023	DenoisingDimensionality Reduction	CodeCode Available	0
Classic machine learning methods	May 24, 2023	ClusteringDimensionality 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