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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 541–550 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters	Oct 21, 2015	Dimensionality Reduction	CodeCode Available	0	5
A Flexible Framework for Anomaly Detection via Dimensionality Reduction	Sep 9, 2019	Active LearningAnomaly Detection	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Manifold Fitting under Unbounded Noise	Sep 23, 2019	Dimensionality Reduction	CodeCode Available	0	5
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding	Feb 4, 2024	Causal InferenceDimensionality Reduction	CodeCode Available	0	5
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
Asymptotics for Sketching in Least Squares Regression	Oct 14, 2018	Dimensionality Reductionregression	CodeCode Available	0	5
A Flag Decomposition for Hierarchical Datasets	Feb 11, 2025	ClusteringDenoising	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