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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 121–130 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets	May 11, 2023	Data VisualizationDimensionality Reduction	CodeCode Available	1	5
Latent variable modeling with random features	Jun 19, 2020	Dimensionality Reduction	CodeCode Available	1	5
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection	Jul 26, 2024	Dimensionality ReductionDistributed Computing	CodeCode Available	1	5
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks	Mar 10, 2021	BIG-bench Machine LearningDesign Synthesis	CodeCode Available	1	5
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors	Sep 27, 2022	Dimensionality ReductionImage Retrieval	CodeCode Available	1	5
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)	Oct 1, 2021	Dimensionality ReductionGraph Representation Learning	CodeCode Available	1	5
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction	Jun 8, 2021	Bayesian InferenceDimensionality Reduction	CodeCode Available	1	5
catch22: CAnonical Time-series CHaracteristics	Jan 29, 2019	ClassificationClustering	CodeCode Available	1	5
CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction	Apr 27, 2024	ClusteringData Visualization	CodeCode Available	1	5
Adversarial Autoencoders	Nov 18, 2015	ClusteringData Visualization	CodeCode Available	1	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