SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 2561–2570 of 3304 papers

TitleStatusHype
Semi-orthogonal Non-negative Matrix Factorization with an Application in Text Mining—0
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clusteringCode0
Efficient Design of Hardware-Enabled Reservoir Computing in FPGAs—0
Compressed Dictionary Learning—0
Secure Face Matching Using Fully Homomorphic EncryptionCode0
Bringing Order to Chaos: A Non-Sequential Approach for Browsing Large Sets of Found Audio Data—0
Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis—0
Auto-Detection of Safety Issues in Baby Products—0
From Principal Subspaces to Principal Components with Linear AutoencodersCode0
Learning Manifolds from Non-stationary Streaming Data—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