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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 2741–2750 of 3304 papers

Title	Date	Tasks	Status	Hype
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine	Feb 10, 2024	Dimensionality ReductionFeature Importance	CodeCode Available	0
A comparison of correspondence analysis with PMI-based word embedding methods	May 31, 2024	Dimensionality Reduction	CodeCode Available	0
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring	Jun 15, 2022	Anomaly DetectionDimensionality Reduction	CodeCode Available	0
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming	Feb 6, 2017	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	0
DiffRed: Dimensionality Reduction guided by stable rank	Mar 9, 2024	Data SummarizationData Visualization	CodeCode Available	0
Safe squeezing for antisparse coding	Nov 18, 2019	Dimensionality Reduction	CodeCode Available	0
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation	Jun 28, 2018	ClusteringDeep Reinforcement Learning	CodeCode Available	0
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings	Nov 10, 2023	Dimensionality Reduction	CodeCode Available	0
Physics-Informed Representation and Learning: Control and Risk Quantification	Dec 17, 2023	Autonomous DrivingDimensionality Reduction	CodeCode Available	0
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

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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