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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 591–600 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
A Big Data Architecture for Early Identification and Categorization of Dark Web Sites	Jan 24, 2024	Dimensionality Reduction	CodeCode Available	0	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 7, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available	0	5
Dimension Reduction for Data with Heterogeneous Missingness	Sep 24, 2021	Dimensionality ReductionMissing Values	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Earthmover-based manifold learning for analyzing molecular conformation spaces	Oct 16, 2019	Dimensionality Reduction	CodeCode Available	0	5
ECG Beats Fast Classification Base on Sparse Dictionaries	Sep 8, 2020	ClassificationDictionary Learning	CodeCode Available	0	5
Effective Dimensionality Reduction for Word Embeddings	Aug 1, 2019	Dimensionality ReductionWord Embeddings	CodeCode Available	0	5
Classifying herbal medicine origins by temporal and spectral data mining of electronic nose	Apr 14, 2021	Dimensionality Reduction	CodeCode Available	0	5
Capacity Preserving Mapping for High-dimensional Data Visualization	Sep 29, 2019	Data VisualizationDimensionality Reduction	CodeCode Available	0	5

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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