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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 2821–2830 of 3304 papers

Title	Date	Tasks	Status	Hype
Multi-Perspective, Simultaneous Embedding	Sep 13, 2019	Dimensionality Reduction	CodeCode Available	0
Earthmover-based manifold learning for analyzing molecular conformation spaces	Oct 16, 2019	Dimensionality Reduction	CodeCode Available	0
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems	Aug 8, 2023	Deep LearningDimensionality Reduction	CodeCode Available	0
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data	Mar 6, 2019	Dimensionality ReductionGaussian Processes	CodeCode Available	0
ECG Beats Fast Classification Base on Sparse Dictionaries	Sep 8, 2020	ClassificationDictionary Learning	CodeCode Available	0
A metric on directed graphs and Markov chains based on hitting probabilities	Jun 25, 2020	Dimensionality ReductionLink Prediction	CodeCode Available	0
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data	Sep 30, 2019	Dimensionality Reduction	CodeCode Available	0
Principal Component Analysis Using Structural Similarity Index for Images	Aug 25, 2019	Dimensionality ReductionImage Quality Assessment	CodeCode Available	0
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition	Sep 2, 2023	AnatomyBinary Classification	CodeCode Available	0
Multiscale Principle of Relevant Information for Hyperspectral Image Classification	Jul 13, 2019	ClassificationDimensionality 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