SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 32513260 of 3304 papers

TitleStatusHype
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in PipesCode0
Sparse quadratic classification rules via linear dimension reductionCode0
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component AnalysisCode0
Guided Quantum Compression for High Dimensional Data ClassificationCode0
Guided Visual Exploration of Relations in Data SetsCode0
Sparse random hypergraphs: Non-backtracking spectra and community detectionCode0
Manifold learning with arbitrary normsCode0
Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian GeometryCode0
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement LearningCode0
Learning Embeddings into Entropic Wasserstein SpacesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified