SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2311–2320 of 3304 papers

TitleStatusHype
PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization—0
Estimation of Cross-Sectional Dependence in Large Panels—0
A framework for streamlined statistical prediction using topic models—0
GraphTSNE: A Visualization Technique for Graph-Structured DataCode0
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers—0
Restricted Isometry Property under High Correlations—0
Beyond the Nucleus: Cytoplasmic Dominance in Follicular Thyroid Carcinoma Detection Using Single-Cell Raman Imaging Across Multiple DevicesCode0
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance MatricesCode0
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images—0
Parametrization of stochastic inputs using generative adversarial networks with application in geology—0
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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