SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2421–2430 of 3304 papers

TitleStatusHype
Multi-stage Antenna Selection for Adaptive Beamforming in MIMO Arrays—0
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning—0
Multi-Stage Feature Selection Based Intelligent Classifier for Classification of Incipient Stage Fire in Building—0
Multitask machine learning of collective variables for enhanced sampling of rare events—0
Multivariate Functional Regression via Nested Reduced-Rank Regularization—0
Multivariate mathematical morphology for DCE-MRI image analysis in angiogenesis studies—0
Bayesian Feature Selection in Joint Quantile Time Series Analysis—0
Multivariate time-series modeling with generative neural networks—0
Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection—0
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment—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