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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 2981–2990 of 3304 papers

Title	Date	Tasks	Status	Hype
ICU Patient Deterioration prediction: a Data-Mining Approach	Nov 21, 2015	Dimensionality Reductionfeature selection	—Unverified	0
Fast clustering for scalable statistical analysis on structured images	Nov 16, 2015	ClusteringComputational Efficiency	—Unverified	0
Deep Linear Discriminant Analysis	Nov 15, 2015	Dimensionality Reduction	CodeCode Available	0
Block-diagonal covariance selection for high-dimensional Gaussian graphical models	Nov 12, 2015	Dimensionality ReductionModel Selection	—Unverified	0
PCA-Based Out-of-Sample Extension for Dimensionality Reduction	Nov 3, 2015	Dimensionality Reduction	—Unverified	0
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters	Oct 21, 2015	Dimensionality Reduction	CodeCode Available	0
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation	Oct 18, 2015	ClusteringDimensionality Reduction	CodeCode Available	0
The intrinsic value of HFO features as a biomarker of epileptic activity	Oct 13, 2015	Dimensionality ReductionEEG	—Unverified	0
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data	Oct 13, 2015	Dimensionality ReductionVocal Bursts Intensity Prediction	—Unverified	0
Fast and Large-scale Unsupervised Relation Extraction	Oct 1, 2015	ClusteringDimensionality 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