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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 431–440 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis	Jan 28, 2024	Dimensionality ReductionTime Series	CodeCode Available	0	5
Guided Quantum Compression for High Dimensional Data Classification	Feb 14, 2024	Binary ClassificationClassification	CodeCode Available	0	5
Distributed Lyapunov Functions for Nonlinear Networks	Jun 25, 2025	Dimensionality ReductionLEMMA	CodeCode Available	0	5
Anticancer Peptides Classification using Kernel Sparse Representation Classifier	Dec 19, 2022	ClassificationDimensionality Reduction	CodeCode Available	0	5
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	0	5
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction	Dec 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	0	5
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings	Nov 10, 2023	Dimensionality Reduction	CodeCode Available	0	5
High Dimensional Bayesian Optimization via Supervised Dimension Reduction	Jul 21, 2019	Bayesian OptimizationDimensionality Reduction	CodeCode Available	0	5
Derivative-enhanced Deep Operator Network	Feb 29, 2024	Dimensionality Reduction	CodeCode Available	0	5
Designing Illuminant Spectral Power Distributions for Surface Classification	Jul 1, 2017	ClassificationDimensionality 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