SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

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Showing 961–970 of 3304 papers

TitleStatusHype
Automatic Collection Creation and Recommendation—0
Dimensionality Reduction for Wasserstein Barycenter—0
Dimensionality Reduction for Tukey Regression—0
Automated Disease Normalization with Low Rank Approximations—0
A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection—0
Dimension reduction in recurrent networks by canonicalization—0
Dimensionality reduction for time series data—0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA—0
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
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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