SOTAVerified

Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

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Showing 3031–3040 of 3304 papers

TitleStatusHype
Sufficient dimension reduction for classification using principal optimal transport directionCode0
Sifting Common Information from Many VariablesCode0
CCP: Correlated Clustering and Projection for Dimensionality ReductionCode0
Signal enhancement for two-dimensional cryo-EM data processingCode0
Deep Embedded SOM: Joint Representation Learning and Self-OrganizationCode0
A Mathematical Formalization of Hierarchical Temporal Memory's Spatial PoolerCode0
Fast Randomized PCA for Sparse DataCode0
"Normalized Stress" is Not Normalized: How to Interpret Stress CorrectlyCode0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
CausNet : Generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraintsCode0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified