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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 2081–2090 of 3304 papers

Title	Date	Tasks	Status	Hype
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction	Dec 12, 2019	Dimensionality Reduction	CodeCode Available	0
The Wasserstein-Fourier Distance for Stationary Time Series	Dec 11, 2019	Data AugmentationDimensionality Reduction	CodeCode Available	0
Discriminative Dimension Reduction based on Mutual Information	Dec 11, 2019	ClassificationDimensionality Reduction	—Unverified	0
Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers	Dec 11, 2019	ClassificationDimensionality Reduction	—Unverified	0
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization	Dec 9, 2019	Data VisualizationDimensionality Reduction	CodeCode Available	0
Control of ecological outcomes through deliberate parameter changes in a model of the gut microbiome	Dec 7, 2019	Dimensionality Reduction	CodeCode Available	0
Hybrid Kronecker Product Decomposition and Approximation	Dec 6, 2019	Dimensionality Reduction	—Unverified	0
On Distance and Kernel Measures of Conditional Independence	Dec 2, 2019	Causal DiscoveryDimensionality Reduction	—Unverified	0
Using Dimensionality Reduction to Optimize t-SNE	Dec 2, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
Dimensionality reduction: theoretical perspective on practical measures	Dec 1, 2019	BIG-bench Machine LearningDimensionality 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