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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 3211–3220 of 3304 papers

Title	Date	Tasks	Status	Hype
Rerouting Connection: Hybrid Computer Vision Analysis Reveals Visual Similarity Between Indus and Tibetan-Yi Corridor Writing Systems	Mar 27, 2025	Dimensionality ReductionSpecificity	CodeCode Available	0
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning	Nov 19, 2019	Dimensionality Reduction	CodeCode Available	0
On the cross-validation bias due to unsupervised pre-processing	Jan 25, 2019	Dimensionality Reductionfeature selection	CodeCode Available	0
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction	Dec 22, 2020	Dimensionality Reduction	CodeCode Available	0
Reservoir computing approaches for representation and classification of multivariate time series	Mar 21, 2018	Dimensionality ReductionGeneral Classification	CodeCode Available	0
Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction	Feb 27, 2025	Dimensionality Reduction	CodeCode Available	0
Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method	Aug 18, 2022	Dimensionality Reduction	CodeCode Available	0
A Big Data Architecture for Early Identification and Categorization of Dark Web Sites	Jan 24, 2024	Dimensionality Reduction	CodeCode Available	0
Machine Learning Based Forward Solver: An Automatic Framework in gprMax	Nov 23, 2021	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	0
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization	Dec 8, 2020	ClusteringDecoder	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