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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 2801–2810 of 3304 papers

Title	Date	Tasks	Status	Hype
Manifold Coordinates with Physical Meaning	Nov 29, 2018	Dimensionality Reduction	CodeCode Available	0
Incorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecasting	Sep 16, 2019	Dimensionality Reduction	CodeCode Available	0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images	Feb 18, 2022	AstronomyAttribute	CodeCode Available	0
Scalable Manifold Learning for Big Data with Apache Spark	Aug 31, 2018	Dimensionality Reduction	CodeCode Available	0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images	Nov 23, 2022	Dimensionality ReductionImage Retrieval	CodeCode Available	0
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective	Jun 13, 2025	Anomaly DetectionDimensionality Reduction	CodeCode Available	0
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking	Jan 17, 2023	2D Object DetectionAutonomous Driving	CodeCode Available	0
Adversarial Canonical Correlation Analysis	May 20, 2020	ClusteringDimensionality Reduction	CodeCode Available	0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data	Jan 17, 2023	Dimensionality Reductionfeature selection	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