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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 3181–3190 of 3304 papers

Title	Date	Tasks	Status	Hype
Visualizing the Effects of a Changing Distance on Data Using Continuous Embeddings	Nov 8, 2013	ClusteringDimensionality Reduction	CodeCode Available	0
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems	Nov 5, 2013	Dimensionality Reduction	—Unverified	0
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods	Oct 18, 2013	Dimensionality ReductionGeneral Classification	—Unverified	0
Applying Graph-based Keyword Extraction to Document Retrieval	Oct 1, 2013	Dimensionality ReductionInformation Retrieval	—Unverified	0
Reconstructing Big Semantic Similarity Networks	Oct 1, 2013	Dimensionality ReductionMetric Learning	—Unverified	0
Towards Robust Cross-Domain Domain Adaptation for Part-of-Speech Tagging	Oct 1, 2013	Dimensionality ReductionDomain Adaptation	—Unverified	0
Updating Rare Term Vector Replacement	Oct 1, 2013	Dimensionality ReductionTopic Models	—Unverified	0
An Image-Based Fluid Surface Pattern Model	Sep 30, 2013	Dimensionality Reductionmodel	—Unverified	0
Latent Fisher Discriminant Analysis	Sep 21, 2013	Dimensionality ReductionGeneral Classification	—Unverified	0
Sparse and Functional Principal Components Analysis	Sep 11, 2013	Dimensionality ReductionEEG	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