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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 3101–3110 of 3304 papers

Title	Date	Tasks	Status	Hype
Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features	Jun 22, 2020	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available	0
CatBoost: unbiased boosting with categorical features	Jun 28, 2017	ClusteringDimensionality Reduction	CodeCode Available	0
Capturing patterns of variation unique to a specific dataset	Apr 16, 2021	Dimensionality Reduction	CodeCode Available	0
On genetic programming representations and fitness functions for interpretable dimensionality reduction	Mar 1, 2022	Dimensionality Reduction	CodeCode Available	0
On Geodesic Distances and Contextual Embedding Compression for Text Classification	Apr 22, 2021	ClassificationDimensionality Reduction	CodeCode Available	0
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces	Apr 4, 2020	Dimensionality ReductionFace Recognition	CodeCode Available	0
Capacity Preserving Mapping for High-dimensional Data Visualization	Sep 29, 2019	Data VisualizationDimensionality Reduction	CodeCode Available	0
Sirius: Visualization of Mixed Features as a Mutual Information Network Graph	Jun 9, 2021	Dimensionality Reductionfeature selection	CodeCode Available	0
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction	Jan 9, 2020	ClusteringDimensionality Reduction	CodeCode Available	0
Online Convex Matrix Factorization with Representative Regions	Apr 4, 2019	Computational EfficiencyDictionary Learning	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