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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 3051–3060 of 3304 papers

Title	Date	Tasks	Status	Hype
Adaptive Randomized Dimension Reduction on Massive Data	Apr 13, 2015	Dimensionality Reductionparameter estimation	—Unverified	0
Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version	Apr 13, 2015	Dimensionality ReductionImage Retrieval	—Unverified	0
Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks	Apr 10, 2015	Dimensionality Reduction	—Unverified	0
Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation	Apr 10, 2015	Data VisualizationDimensionality Reduction	—Unverified	0
Generalized Categorization Axioms	Mar 31, 2015	BIG-bench Machine LearningClustering	—Unverified	0
Cross-validation of matching correlation analysis by resampling matching weights	Mar 29, 2015	Dimensionality ReductionGraph Embedding	—Unverified	0
An Item-Based Collaborative Filtering using Dimensionality Reduction Techniques on Mahout Framework	Mar 23, 2015	Collaborative FilteringDimensionality Reduction	—Unverified	0
Unsupervised model compression for multilayer bootstrap networks	Mar 22, 2015	Dimensionality Reductionmodel	—Unverified	0
Reduced Basis Decomposition: a Certified and Fast Lossy Data Compression Algorithm	Mar 19, 2015	Data CompressionDimensionality Reduction	—Unverified	0
Hypoelliptic Diffusion Maps I: Tangent Bundles	Mar 17, 2015	Dimensionality Reduction	—Unverified	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