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 1241–1250 of 3304 papers

TitleStatusHype
Factor-augmented sparse MIDAS regressions with an application to nowcasting—0
Factorization of Latent Variables in Distributional Semantic Models—0
Collaborative Homomorphic Computation on Data Encrypted under Multiple Keys—0
An iterative coordinate descent algorithm to compute sparse low-rank approximations—0
Broadband Beamforming via Linear Embedding—0
Factors in Fashion: Factor Analysis towards the Mode—0
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis—0
Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering—0
Fair and skill-diverse student group formation via constrained k-way graph partitioning—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—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