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 711–720 of 3304 papers

TitleStatusHype
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease—0
An information-geometric approach to feature extraction and moment reconstruction in dynamical systems—0
Approaching Metaheuristic Deep Learning Combos for Automated Data Mining—0
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications—0
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction—0
Creation of a Deep Convolutional Auto-Encoder in Caffe—0
Credit Risk Assessment Model for UAE Commercial Banks: A Machine Learning Approach—0
Cricket Player Profiling: Unraveling Strengths and Weaknesses Using Text Commentary Data—0
Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications—0
A Fully Convolutional Network for MR Fingerprinting—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