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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 481–490 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 Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting	Mar 27, 2023	Dimensionality ReductionState Estimation	CodeCode Available	0	5
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem	Jul 10, 2020	Dimensionality ReductionHistopathological Image Classification	CodeCode Available	0	5
Learning Integral Representations of Gaussian Processes	Feb 21, 2018	Dimensionality ReductionGaussian Processes	CodeCode Available	0	5
Bayesian calibration of stochastic agent based model via random forest	Jun 27, 2024	Dimensionality ReductionEpidemiology	CodeCode Available	0	5
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods	Feb 6, 2025	Dimensionality Reduction	CodeCode Available	0	5
Dimension Reduction for Data with Heterogeneous Missingness	Sep 24, 2021	Dimensionality ReductionMissing Values	CodeCode Available	0	5
Earthmover-based manifold learning for analyzing molecular conformation spaces	Oct 16, 2019	Dimensionality Reduction	CodeCode Available	0	5
DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography	Mar 10, 2025	ClusteringDeep Clustering	CodeCode Available	0	5
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality 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