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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 741–750 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data	Nov 19, 2021	DiagnosticDimensionality Reduction	CodeCode Available	0	5
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems	Dec 3, 2015	BIG-bench Machine LearningClustering	CodeCode Available	0	5
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction	Apr 30, 2019	Density EstimationDimensionality Reduction	CodeCode Available	0	5
DiffRed: Dimensionality Reduction guided by stable rank	Mar 9, 2024	Data SummarizationData Visualization	CodeCode Available	0	5
ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings	Sep 17, 2016	Computational EfficiencyDimensionality Reduction	CodeCode Available	0	5
Network Representation Learning: Consolidation and Renewed Bearing	May 2, 2019	Dimensionality ReductionGeneral Classification	CodeCode Available	0	5
Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Data Mapping and Finite Difference Learning	Sep 18, 2019	Dimensionality Reduction	CodeCode Available	0	5
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features	Feb 4, 2018	ClusteringDimensionality Reduction	CodeCode Available	0	5
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint	Sep 16, 2021	Dimensionality Reduction	CodeCode Available	0	5

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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