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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 991–1000 of 3304 papers

Title	Date	Tasks	Status	Hype
SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text	Jul 28, 2023	Dimensionality Reduction	—Unverified	0
A Statistical View of Column Subset Selection	Jul 24, 2023	Dimensionality Reduction	CodeCode Available	0
On Optimality in ROVir	Jul 20, 2023	Dimensionality Reduction	—Unverified	0
Heuristic Hyperparameter Choice for Image Anomaly Detection	Jul 20, 2023	Anomaly DetectionDimensionality Reduction	—Unverified	0
Two Approaches to Supervised Image Segmentation	Jul 19, 2023	Deep LearningDimensionality Reduction	—Unverified	0
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation	Jul 19, 2023	Change Point DetectionDimensionality Reduction	CodeCode Available	0
Improving Surrogate Model Robustness to Perturbations for Dynamical Systems Through Machine Learning and Data Assimilation	Jul 19, 2023	Dimensionality Reduction	—Unverified	0
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning	Jul 18, 2023	Dimensionality Reduction	—Unverified	0
Company2Vec -- German Company Embeddings based on Corporate Websites	Jul 18, 2023	ClusteringDimensionality Reduction	—Unverified	0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization	Jul 17, 2023	Dimensionality ReductionSemantic Similarity	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