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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 2711–2720 of 3304 papers

Title	Date	Tasks	Status	Hype
Minimum Spectral Connectivity Projection Pursuit	Sep 4, 2015	ClusteringDimensionality Reduction	CodeCode Available	0
MISS: Multiclass Interpretable Scoring Systems	Jan 10, 2024	Binary ClassificationClassification	CodeCode Available	0
Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing	Sep 17, 2020	Dimensionality Reduction	CodeCode Available	0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled Loads	May 1, 2025	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
A ripple in time: a discontinuity in American history	Dec 2, 2023	Authorship AttributionDimensionality Reduction	CodeCode Available	0
Adversarially-Trained Nonnegative Matrix Factorization	Apr 10, 2021	Dimensionality ReductionMatrix Completion	CodeCode Available	0
Dimension Reduction and MARS	Feb 11, 2023	Dimensionality Reductionregression	CodeCode Available	0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN	Jan 25, 2021	ClassificationDimensionality Reduction	CodeCode Available	0
Unsupervised Metric Learning in Presence of Missing Data	Jul 19, 2018	Dimensionality ReductionMatrix Completion	CodeCode Available	0
A Flexible Framework for Anomaly Detection via Dimensionality Reduction	Sep 9, 2019	Active LearningAnomaly Detection	CodeCode Available	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