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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 2891–2900 of 3304 papers

Title	Date	Tasks	Status	Hype
Mycorrhiza: Genotype Assignment usingPhylogenetic Networks	Oct 14, 2020	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	0
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression	Jun 8, 2022	Dimensionality Reductionregression	CodeCode Available	0
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models	Dec 7, 2021	Dimensionality ReductionMulti-class Classification	CodeCode Available	0
Invertible Manifold Learning for Dimension Reduction	Oct 7, 2020	Dimensionality Reduction	CodeCode Available	0
A Clustering Framework for Residential Electric Demand Profiles	May 17, 2021	ClusteringDimensionality Reduction	CodeCode Available	0
Enabling stratified sampling in high dimensions via nonlinear dimensionality reduction	Jun 10, 2025	Dimensionality Reduction	CodeCode Available	0
Accelerated Stochastic Power Iteration	Jul 10, 2017	Dimensionality Reduction	CodeCode Available	0
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack	Aug 30, 2024	Dimensionality ReductionReconstruction Attack	CodeCode Available	0
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian Texts	Dec 16, 2023	Deep LearningDimensionality Reduction	CodeCode Available	0
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections	Nov 22, 2018	compressed sensingDimensionality 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