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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 2331–2340 of 3304 papers

Title	Date	Tasks	Status	Hype
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis	Mar 21, 2019	Dimensionality ReductionTensor Decomposition	—Unverified	0
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification	Mar 21, 2019	ClusteringDimensionality Reduction	—Unverified	0
On the Computation and Applications of Large Dense Partial Correlation Networks	Mar 17, 2019	Dimensionality ReductionModel Selection	—Unverified	0
Deep Feature Selection using a Teacher-Student Network	Mar 17, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning	Mar 15, 2019	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
DysLexML: Screening Tool for Dyslexia Using Machine Learning	Mar 14, 2019	BIG-bench Machine LearningDimensionality Reduction	—Unverified	0
Reducing the dimensionality of data using tempered distributions	Mar 12, 2019	Dimensionality Reduction	CodeCode Available	0
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts	Mar 8, 2019	Dimensionality Reduction	CodeCode Available	0
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data	Mar 6, 2019	Dimensionality ReductionGaussian Processes	CodeCode Available	0
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding	Mar 2, 2019	CPUDimensionality 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