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 1291–1300 of 3304 papers

TitleStatusHype
A Hybrid Data-Driven Approach For Analyzing And Predicting Inpatient Length Of Stay In Health Centre—0
Active Linear Regression for _p Norms and Beyond—0
Accelerated partial separable model using dimension-reduced optimization technique for ultra-fast cardiac MRI—0
Cricket Player Profiling: Unraveling Strengths and Weaknesses Using Text Commentary Data—0
Credit Risk Assessment Model for UAE Commercial Banks: A Machine Learning Approach—0
Creation of a Deep Convolutional Auto-Encoder in Caffe—0
Cover Learning for Large-Scale Topology Representation—0
Approximated and User Steerable tSNE for Progressive Visual Analytics—0
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications—0
Approaching Metaheuristic Deep Learning Combos for Automated Data Mining—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