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Dimensionality Reduction

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

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Papers

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Showing 661–670 of 3304 papers

TitleStatusHype
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood AnalysisCode0
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems—0
Interpretability Illusions in the Generalization of Simplified Models—0
Calibrating dimension reduction hyperparameters in the presence of noiseCode0
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees—0
Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network—0
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm—0
Relation between PLS and OLS regression in terms of the eigenvalue distribution of the regressor covariance matrix—0
A ripple in time: a discontinuity in American historyCode0
Linear normalised hash function for clustering gene sequences and identifying reference sequences from multiple sequence alignments—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