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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 2751–2760 of 3304 papers

Title	Date	Tasks	Status	Hype
Detecting covariate drift in text data using document embeddings and dimensionality reduction	Sep 17, 2023	ClassificationDimensionality Reduction	CodeCode Available	0
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification	Sep 17, 2019	BenchmarkingDecision Making	CodeCode Available	0
Speeding up astrochemical reaction networks with autoencoders and neural ODEs	Dec 10, 2023	Dimensionality Reduction	CodeCode Available	0
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs	Sep 14, 2022	Data IntegrationDimensionality Reduction	CodeCode Available	0
Image Similarity using An Ensemble of Context-Sensitive Models	Jan 15, 2024	Dimensionality ReductionSemantic Similarity	CodeCode Available	0
Image Super-resolution via Feature-augmented Random Forest	Dec 14, 2017	Content-Based Image RetrievalDictionary Learning	CodeCode Available	0
Completing partial recipes using item-based collaborative filtering to recommend ingredients	Jul 23, 2019	Collaborative FilteringDimensionality Reduction	CodeCode Available	0
PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis	Jun 9, 2023	Dimensionality Reduction	CodeCode Available	0
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference	Nov 25, 2021	Bayesian InferenceDimensionality Reduction	CodeCode Available	0
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features	Jun 14, 2023	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