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 1181–1190 of 3304 papers

TitleStatusHype
Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning—0
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)—0
2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
Deep Learning in Earthquake Engineering: A Comprehensive Review—0
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network—0
Split Semantic Detection in Sandplay Images—0
Deep Learning for GWP Prediction: A Framework Using PCA, Quantile Transformation, and Ensemble Modeling—0
Deep Learning for Efficient GWAS Feature Selection—0
Deep Learning for Causal Inference—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