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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 2281–2290 of 3304 papers

Title	Date	Tasks	Status	Hype
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning	May 10, 2019	ClusteringContrastive Learning	—Unverified	0
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data	May 10, 2019	Dimensionality Reduction	—Unverified	0
Learning Embeddings into Entropic Wasserstein Spaces	May 8, 2019	Dimensionality ReductionWord Embeddings	CodeCode Available	0
Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices	May 7, 2019	Dimensionality Reduction	—Unverified	0
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review	May 7, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
Guided Visual Exploration of Relations in Data Sets	May 7, 2019	Dimensionality Reduction	CodeCode Available	0
Uncertainty-Aware Principal Component Analysis	May 3, 2019	Dimensionality Reduction	CodeCode Available	0
Locally Differentially Private Naive Bayes Classification	May 3, 2019	ClassificationDimensionality Reduction	—Unverified	0
Network Representation Learning: Consolidation and Renewed Bearing	May 2, 2019	Dimensionality ReductionGeneral Classification	CodeCode Available	0
Online Learning for Supervised Dimension Reduction	May 1, 2019	Dimensionality Reductionregression	—Unverified	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