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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 1491–1500 of 3304 papers

Title	Date	Tasks	Status	Hype
Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty Quantification	Jul 22, 2021	Dimensionality ReductionUncertainty Quantification	CodeCode Available	0
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models	Jul 21, 2021	Dimensionality ReductionUncertainty Quantification	CodeCode Available	1
Machine learning for assessing quality of service in the hospitality sector based on customer reviews	Jul 21, 2021	Dimensionality Reduction	—Unverified	0
Measuring inter-cluster similarities with Alpha Shape TRIangulation in loCal Subspaces (ASTRICS) facilitates visualization and clustering of high-dimensional data	Jul 15, 2021	ClusteringDimensionality Reduction	—Unverified	0
Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures	Jul 14, 2021	Dimensionality Reduction	—Unverified	0
Identifying Layers Susceptible to Adversarial Attacks	Jul 10, 2021	Dimensionality Reduction	—Unverified	0
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations	Jul 9, 2021	Dimensionality Reduction	CodeCode Available	1
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit	Jul 7, 2021	Dimensionality ReductionTime Series	—Unverified	0
WeightScale: Interpreting Weight Change in Neural Networks	Jul 7, 2021	ClusteringDimensionality Reduction	—Unverified	0
Generative locally linear embedding: A module for manifold unfolding and visualization	Jul 6, 2021	Data VisualizationDimensionality Reduction	CodeCode Available	1

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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