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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 801–810 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters	Oct 22, 2014	Decision MakingDimensionality Reduction	CodeCode Available	0	5
Bidirectional deep-readout echo state networks	Nov 17, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Deep learning to discover and predict dynamics on an inertial manifold	Dec 20, 2019	Dimensionality ReductionTranslation	CodeCode Available	0	5
Deep Learning with Nonparametric Clustering	Jan 13, 2015	ClusteringDeep Learning	CodeCode Available	0	5
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality Reduction	CodeCode Available	0	5
A Statistical View of Column Subset Selection	Jul 24, 2023	Dimensionality Reduction	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
On the cross-validation bias due to unsupervised pre-processing	Jan 25, 2019	Dimensionality Reductionfeature selection	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