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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 3071–3080 of 3304 papers

Title	Date	Tasks	Status	Hype
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings	May 20, 2025	Dimensionality Reductionregression	CodeCode Available	0
Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods	Feb 6, 2025	Dimensionality Reduction	CodeCode Available	0
TriMap: Large-scale Dimensionality Reduction Using Triplets	Oct 1, 2019	Dimensionality ReductionTriplet	CodeCode Available	0
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches	Jul 4, 2020	Dimensionality ReductionHistopathological Image Classification	CodeCode Available	0
Learning Low-Level Causal Relations using a Simulated Robotic Arm	Oct 10, 2024	Common Sense ReasoningDimensionality Reduction	CodeCode Available	0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection	Jan 1, 2018	Anomaly DetectionDensity Estimation	CodeCode Available	0
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery	Jun 26, 2018	Dimensionality ReductionGeneral Classification	CodeCode Available	0
FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles	Jun 13, 2022	Dimensionality Reduction	CodeCode Available	0
Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy	Apr 20, 2021	DenoisingDimensionality Reduction	CodeCode Available	0
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data	Apr 25, 2024	DecoderDimensionality 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