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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 831–840 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Principal component analysis balancing prediction and approximation accuracy for spatial data	Aug 3, 2024	Dimensionality Reduction	CodeCode Available	0	5
Sirius: Visualization of Mixed Features as a Mutual Information Network Graph	Jun 9, 2021	Dimensionality Reductionfeature selection	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach	Oct 15, 2018	Dimensionality Reduction	CodeCode Available	0	5
ALPCAHUS: Subspace Clustering for Heteroscedastic Data	May 25, 2025	ClusteringDimensionality Reduction	CodeCode Available	0	5
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering	Feb 23, 2023	ClassificationDimensionality Reduction	CodeCode Available	0	5
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled Loads	May 1, 2025	Computational EfficiencyDimensionality Reduction	CodeCode Available	0	5
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps	Dec 15, 2023	Dimensionality Reduction	CodeCode Available	0	5
DNN Feature Map Compression using Learned Representation over GF(2)	Aug 15, 2018	Dimensionality ReductionGeneral Classification	CodeCode Available	0	5
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift	Oct 29, 2018	Dimensionality ReductionTwo-sample testing	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