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 2001–2010 of 3304 papers

TitleStatusHype
Extração e Classificação de Características Radiômicas em Gliomas de Baixo Grau para Análise da Codeleção 1p/19q—0
Triplet-Based Wireless Channel Charting: Architecture and Experiments—0
Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation—0
Adversarial Canonical Correlation AnalysisCode0
A cognitive based Intrusion detection system—0
Transformation Based Deep Anomaly Detection in Astronomical Images—0
OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach—0
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering—0
Exchangeability, Conformal Prediction, and Rank Tests—0
Solving Large-Scale Sparse PCA to Certifiable (Near) OptimalityCode0
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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