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 2921–2930 of 3304 papers

TitleStatusHype
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics—0
Cognitive Coding of Speech—0
Collaborative causal inference on distributed data—0
Collaborative Gaussian Processes for Preference Learning—0
Collaborative Homomorphic Computation on Data Encrypted under Multiple Keys—0
Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering—0
Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins—0
Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset—0
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine—0
Communication-efficient k-Means for Edge-based Machine Learning—0
Show:102550
← PrevPage 293 of 331Next →
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