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Dimensionality Reduction

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1191–1200 of 3304 papers

Title	Date	Tasks	Status	Hype
FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles	Jun 13, 2022	Dimensionality Reduction	CodeCode Available	0
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering	Jun 10, 2022	ClusteringDimensionality Reduction	—Unverified	0
Evolutionary Echo State Network: evolving reservoirs in the Fourier space	Jun 10, 2022	Dimensionality Reduction	—Unverified	0
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance	Jun 9, 2022	ClusteringDimensionality Reduction	—Unverified	0
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression	Jun 8, 2022	Dimensionality Reductionregression	CodeCode Available	0
CCP: Correlated Clustering and Projection for Dimensionality Reduction	Jun 8, 2022	ClusteringDimensionality Reduction	CodeCode Available	0
Few-Shot Learning by Dimensionality Reduction in Gradient Space	Jun 7, 2022	Dimensionality ReductionFew-Shot Learning	CodeCode Available	1
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation	Jun 7, 2022	Dimensionality Reduction	CodeCode Available	0
Click prediction boosting via Bayesian hyperparameter optimization based ensemble learning pipelines	Jun 7, 2022	Dimensionality ReductionEnsemble Learning	—Unverified	0
Unifying Summary Statistic Selection for Approximate Bayesian Computation	Jun 6, 2022	Bayesian InferenceDimensionality Reduction	CodeCode Available	0

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified