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 1281–1290 of 3304 papers

TitleStatusHype
A Hybrid Learning Approach to Detecting Regime Switches in Financial Markets—0
DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning—0
Approximation Algorithms for Sparse Principal Component Analysis—0
CUR Decompositions, Approximations, and Perturbations—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
CSI Compression using Channel Charting—0
Cross-validation of matching correlation analysis by resampling matching weights—0
Approximate Matrix Multiplication with Application to Linear Embeddings—0
Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications—0
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning—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