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Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 71–80 of 3304 papers

Title	Date	Tasks	Status	Hype
EVNet: An Explainable Deep Network for Dimension Reduction	Nov 21, 2022	Data AugmentationDimensionality Reduction	CodeCode Available	1
Minimalist Data Wrangling with Python	Nov 9, 2022	Dimensionality Reduction	CodeCode Available	1
A Spectral Method for Assessing and Combining Multiple Data Visualizations	Oct 25, 2022	Data VisualizationDimensionality Reduction	CodeCode Available	1
An Additive Autoencoder for Dimension Estimation	Oct 13, 2022	Dimensionality Reduction	CodeCode Available	1
ParaDime: A Framework for Parametric Dimensionality Reduction	Oct 10, 2022	Dimensionality Reduction	CodeCode Available	1
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors	Sep 27, 2022	Dimensionality ReductionImage Retrieval	CodeCode Available	1
Bayesian Optimization of Sampling Densities in MRI	Sep 15, 2022	Bayesian OptimizationDimensionality Reduction	CodeCode Available	1
Risk of Bias in Chest Radiography Deep Learning Foundation Models	Sep 7, 2022	Decision MakingDeep Learning	CodeCode Available	1
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms	Aug 28, 2022	Dimensionality ReductionQuantum Machine Learning	CodeCode Available	1
Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional Autoencoders	Aug 25, 2022	Deep LearningDimensionality Reduction	CodeCode Available	1

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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