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 2791–2800 of 3304 papers

TitleStatusHype
Interactive Graphics for Visually Diagnosing Forest Classifiers in R—0
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
The Informativeness of K -Means for Learning Mixture Models—0
Locality preserving projection on SPD matrix Lie group: algorithm and analysis—0
Microstructure under the Microscope: Tools to Survive and Thrive in The Age of (Too Much) Information—0
Why do similarity matching objectives lead to Hebbian/anti-Hebbian networks?—0
SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel LearningCode0
PSF field learning based on Optimal Transport Distances—0
Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval—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