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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 3291–3300 of 3304 papers

Title	Date	Tasks	Status	Hype
Patients' Severity States Classification based on Electronic Health Record (EHR) Data using Multiple Machine Learning and Deep Learning Approaches	Sep 29, 2022	Deep LearningDimensionality Reduction	CodeCode Available	0
Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction	Jun 5, 2025	Dimensionality ReductionExperimental Design	CodeCode Available	0
Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection	Jul 17, 2024	Dimensionality Reductionfeature selection	CodeCode Available	0
Measuring disentangled generative spatio-temporal representation	Feb 10, 2022	Deep LearningDimensionality Reduction	CodeCode Available	0
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation	Jul 19, 2023	Change Point DetectionDimensionality Reduction	CodeCode Available	0
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence	Jun 4, 2019	Autonomous VehiclesDimensionality Reduction	CodeCode Available	0
Unsupervised learning with contrastive latent variable models	Nov 14, 2018	Dimensionality Reductionfeature selection	CodeCode Available	0
PCA Reduced Gaussian Mixture Models with Applications in Superresolution	Sep 16, 2020	Dimensionality Reduction	CodeCode Available	0
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children	May 10, 2025	Causal DiscoveryCausal Inference	CodeCode Available	0
Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases	May 19, 2022	Dimensionality 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