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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 501–510 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices	Apr 10, 2019	ClusteringDimensionality 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
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion	May 10, 2015	Compressive SensingDimensionality Reduction	CodeCode Available	0	5
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality Reduction	CodeCode Available	0	5
Analyzing scRNA-seq data by CCP-assisted UMAP and t-SNE	Jun 23, 2023	Dimensionality Reductionfeature selection	CodeCode Available	0	5
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data	Mar 6, 2019	Dimensionality ReductionGaussian Processes	CodeCode Available	0	5
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation	Mar 28, 2022	DenoisingDimensionality Reduction	CodeCode Available	0	5
Meta-learning of Pooling Layers for Character Recognition	Mar 17, 2021	Dimensionality ReductionMeta-Learning	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

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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