SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 401410 of 3304 papers

TitleStatusHype
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
A Statistical View of Column Subset SelectionCode0
A Graphical Model for Fusing Diverse Microbiome DataCode0
DiffRed: Dimensionality Reduction guided by stable rankCode0
A Linearly Convergent Algorithm for Distributed Principal Component AnalysisCode0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Dimensionality Reduction Meets Message Passing for Graph Node EmbeddingsCode0
Derivative-enhanced Deep Operator NetworkCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Anticancer Peptides Classification using Kernel Sparse Representation ClassifierCode0
Show:102550
← PrevPage 41 of 331Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified